Fibonacci Retracement levels Automatically D/W/MIndicator Description: Fibonacci Retracement levels Automatically
Fibonacci retracement levels based on the day, week, month High Low range and Fibonacci retracement levels draws automatically .This Pine Script indicator is designed to plot Fibonacci retracement levels based on the high and low prices of a user-selected timeframe (Daily, Weekly, or Monthly). It identifies bullish or bearish candles in the chosen timeframe, draws key price levels, and overlays Fibonacci retracement lines and semi-transparent colored boxes to highlight potential support and resistance zones. The indicator dynamically updates with each new period and extends lines, labels, and boxes to the current bar for real-time visualization. Key Features
1. Timeframe Selection: Users can choose the timeframe for analysis: Daily, Weekly, or Monthly via an input dropdown. The indicator retrieves the open, high, low, and close prices for the selected timeframe using `request.security`.
2. High and Low Tracking : Tracks the highest high and lowest low within the selected timeframe. Stores these values and their corresponding bar indices in arrays (`whigh`, `wlow`, `whighIdx`,`wlowIdx`). Limits the array size to the most recent period to optimize performance.
3. Bullish and Bearish Candle Detection : Identifies whether the previous period’s candle is bullish (`close > open`) or bearish (`close < open`). Uses this to determine the direction for Fibonacci retracement calculations. Bullish candle: Fibonacci levels are drawn from low to high
Bearish candle: Fibonacci levels are drawn from high to low
4. Fibonacci Retracement Levels : Plots Fibonacci levels at 0.236, 0.382, 0.5, 0.618, and 0.786 between the high and low of the period. For bullish candles, levels are calculated from the low (support) to the high (resistance). For bearish candles, levels are calculated from the high (resistance) to the low (support). Each Fibonacci level is drawn as a horizontal line with a unique color:
- 0.236: Blue
- 0.382: Purple
- 0.5: Yellow
- 0.618: Teal
- 0.786: Fuchsia
5. Visual Elements: - High/Low Lines and Labels: Draws a red line and label for the previous period’s high. Draws a green line and label for the previous period’s low. Fibonacci Lines and Labels: Each Fibonacci level has a horizontal line and a label displaying the ratio.
Colored Boxes: Semi-transparent boxes are drawn between consecutive Fibonacci levels (including high and low) to highlight zones.
6. Dynamic Updates:
- At the start of a new period (e.g., new week for Weekly timeframe), the indicator:
- Clears previous Fibonacci lines, labels, and boxes.
- Recalculates the high and low for the new period.
- Redraws lines, labels, and boxes based on the new data.
- Extends all lines, labels, and boxes to the current bar index for real-time tracking.
7. Performance Optimization:
- Deletes old lines, labels, and boxes to prevent clutter.
- Limits the storage of highs and lows to the most recent period.
How It Works
1. Initialization: Defines variables for tracking bullish/bearish candles, lines, labels, and arrays for Fibonacci levels and boxes. Sets up color arrays for Fibonacci lines and boxes with distinct, semi-transparent colors.
2. Data Collection: Fetches the previous period’s OHLC (open, high, low, close) using `request.security`. Detects new periods (e.g., new week or month) using `ta.change(time(tf))`.
3. Fibonacci Calculation: On a new period, stores the high and low prices and their bar indices.
- Identifies the maximum high and minimum low from the stored data. - Calculates Fibonacci levels based on the range (`maxHigh - minLow`) and the direction (bullish or bearish).
4. Drawing:
- Draws high/low lines and labels at the identified price levels. Plots Fibonacci retracement lines and labels for each ratio. Creates semi-transparent boxes between Fibonacci levels to visually distinguish zones.
5. Updates:
- Extends all lines, labels, and boxes to the current bar index when a new period is detected. Clears old Fibonacci elements to avoid overlap and ensure clarity.
Usage
- Purpose: This indicator is useful for traders who use Fibonacci retracement levels to identify potential support and resistance zones in financial markets.
- Application:
- Select the desired timeframe (Daily, Weekly, Monthly) via the input settings.
- The indicator automatically plots the previous period’s high/low and Fibonacci levels on the chart.
- Use the labeled Fibonacci levels and colored boxes to identify key price zones for trading decisions.
- Customization:
- Modify the `timeframe` input to switch between Daily, Weekly, or Monthly analysis.
- Adjust the `fibLineColors` and `fibFillColors` arrays to change the visual appearance of lines and boxes.
- The indicator is designed for use on TradingView with Pine Script.
- The maximum array size for highs/lows is limited to 1 period in this version (can be adjusted by modifying the `array.shift` logic).
- The indicator dynamically updates with each new period, ensuring real-time relevance.
This indicator make educational purpose use only
Search in scripts for "track"
Fibonacci - RSI OscillatorIndicator Overview
The Fibonacci RSI Oscillator calculates the Relative Strength Index (RSI) based on a dynamically adjusting level derived from recent price action and a fixed Fibonacci ratio (0.236). This differs from standard RSI, which is calculated directly on the closing price. The objective is to measure momentum relative to a level that adapts to recent peaks and valleys.
Core Calculation Mechanism
Peak/Valley Tracking: The script identifies the highest high (state_peak) and lowest low (state_valley) since the last detected change in short-term directional bias (state_dir).
Dynamic Level Calculation: A level (state_dyn_level) is calculated using a fixed 0.236 Fibonacci ratio relative to the tracked peak and valley:
If bias is up: state_dyn_level = state_peak - (state_peak - state_valley) * 0.236
If bias is down: state_dyn_level = state_valley + (state_peak - state_valley) * 0.236
This level adjusts automatically when a new peak or valley is established in the current directional bias. If price crosses the dynamic level against the current bias, the bias flips, and the level recalculates.
Optional Source Smoothing: The calculated state_dyn_level can optionally be smoothed using a user-selected moving average (SMA, EMA, WMA, HMA, RMA) before the RSI calculation.
RSI Calculation: The standard RSI formula is applied to the (optionally smoothed) state_dyn_level series to produce the primary oscillator value (val_primary_osc).
Signal Line: A moving average (type and length configurable) is calculated on the val_primary_osc to generate the val_sig_line.
Key Features & Components
Dynamic Fibonacci Level: The core input for the RSI calculation, based on recent peaks/valleys and the 0.236 ratio.
Fibonacci Level RSI: The primary oscillator line representing the RSI of the dynamic level.
Signal Line: A moving average of the primary RSI line.
Overbought/Oversold Levels: User-defined threshold lines.
Optional Source Smoothing: Configurable MA smoothing applied to the dynamic level before RSI calculation.
Gradient RSI Color : Option to color the primary RSI line based on its value relative to OB/Mid/OS levels.
Zone & OB/OS Fills: Visual fills for the 0-50 / 50-100 zones and specific fills when the RSI enters OB/OS territory.
Background Gradient: Optional vertical background color gradient based on the RSI's position between 0 and 100.
Configurable Parameters: Inputs for lengths, MA types, OB/OS levels, colors, line widths, and feature toggles.
Visual Elements Explained
Fibonacci Level RSI Line: The main plotted oscillator (color/gradient/width configurable).
Signal Line: The moving average of the RSI line (color/width/MA type configurable).
OB/OS Lines: Horizontal lines plotted at the set OB/OS levels (color/width configurable).
Mid-Line (50): Horizontal line plotted at 50 (color/width configurable).
Zone Fills:
Background fill between 0-50 and 50-100 (colors configurable).
Conditional fill between the RSI line and the 50 line when RSI > OB level or RSI < OS level (colors configurable).
Background Gradient: Optional background coloring where transparency varies vertically with the RSI level (base colors and transparency range configurable).
Configuration Options
Users can adjust the following parameters in the indicator settings:
Smoothing: Enable/disable dynamic level smoothing; set length and MA type.
RSI: Set the RSI calculation length.
Signal Line: Set the signal line smoothing length and MA type.
Levels: Define Overbought and Oversold numeric thresholds.
Visuals: Configure colors and widths for the RSI line, signal line, OB/OS lines, mid-line, zone fills, and OB/OS fills.
Gradients: Enable/disable and configure colors for the RSI line gradient; enable/disable and configure colors/transparency for the background gradient.
Interpretation Notes
The oscillator reflects the momentum of the dynamic Fibonacci level, not directly the price. Divergences, OB/OS readings, and signal line crossovers should be interpreted in this context.
The behavior may differ from standard RSI, potentially offering a smoother output or highlighting different momentum patterns depending on market structure and volatility.
As with any indicator, signals should be used in conjunction with other analysis methods and risk management practices. It is not designed as a standalone trading system.
Risk Disclaimer:
Trading involves significant risk. This indicator is provided for analytical purposes only and does not constitute financial advice. Past performance is not indicative of future results. Use sound risk management practices and never trade with capital you cannot afford to lose.
Time of Day Background with Bar Count & TableDescription:
This indicator provides a comprehensive overview of market activity by dynamically displaying the time-of-day background and tracking bullish and bearish bar counts across different sessions. It also features a table summarizing the market performance for the last 7 days, segmented into four time-based sessions: Morning, Afternoon, Evening, and Night.
Key Features:
Time of Day Background:
The chart's background color changes based on the time of day:
Evening (12 AM - 6 AM) is shaded blue.
Morning (6 AM - 12 PM) is shaded aqua.
Afternoon (12 PM - 6 PM) is shaded yellow.
Night (6 PM - 12 AM) is shaded silver.
Bullish and Bearish Bar Counting:
It tracks the number of bullish (closing higher than opening) and bearish (closing lower than opening) candles.
The sum of the price differences (bullish minus bearish) for each session is displayed as a dynamic label, indicating overall market direction for each session.
Session Breakdown:
The chart is divided into four sessions, each lasting 6 hours (Morning, Afternoon, Evening, Night).
A new label is generated at the start of each session, indicating the bullish/bearish performance and the net difference in price movements for that session.
Historical Session Performance:
The indicator tracks and stores the performance for each session over the past 7 days.
A table is generated in the top-right corner of the chart, summarizing the performance for each session (Morning, Afternoon, Evening, Night) and the price changes for each of the past 7 days.
The values are color-coded to indicate positive (green) or negative (red) results.
Dynamic Table:
The table presents performance data for each time session over the past week with color-coded cells:
Green cells indicate positive performance.
Red cells indicate negative performance.
Empty cells represent no data for that session.
Use Case:
This indicator is useful for traders who want to track market activity and performance across different times of day and monitor how each session contributes to the overall market trend. It provides both visual insights (through background color) and numerical data (via the table) for better decision-making.
Settings:
The background color and session labels update automatically based on the time of day.
The table updates every day, tracking the performance of each session over the past week.
CycleSync | QuantEdgeBIntroducing CycleSync by QuantEdgeB
Overview
CycleSync is a powerful valuation and cycle-tracking system designed to provide insights into asset price behavior across different phases of market cycles. It integrates on-chain data, price-based indicators, and risk-adjusted metrics to offer a comprehensive valuation model that helps traders and investors identify accumulation, distribution, and momentum shifts.
This system is ideal for those who want data-driven confirmation of market tops and bottoms, leveraging a blend of statistical measures, trend-following techniques, and historical on-chain valuations.
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Key Features
1. Multi-Factor Valuation Framework
Incorporates a blend of on-chain, momentum, and price-based indicators to assess market cycles in real-time. Helps determine if an asset is overvalued, fairly valued, or undervalued over long term horizon.
2.Market Cycle Recognition
Tracks key macro and micro cycle shifts, identifying trends such as accumulation, expansion, distribution, and contraction phases.
3.Dynamic Valuation
CycleSync employs Z-score standardization and adaptive rescaling to continuously refine overbought and oversold thresholds based on evolving market conditions. Unlike static valuation models, which rely on fixed levels, CycleSync dynamically recalibrates these boundaries by analyzing historical price distributions and deviations from the mean.
4.Comprehensive Dashboard
Presents cycle indicators and valuation scores in a structured table format.
Displays color-coded overbought and oversold signals for quick interpretation.
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How It Works
1.On-Chain & Price-Based Data Collection
Gathers key market cycle indicators like MVRV, NUPL, SOPR, CVDD, VWAP, Pi-Cycle, RSI, and Risk Ratios to assess historical valuation.
2.Standardization & Rescaling
Each metric is normalized using either Z-score calculations or high-low rescaling, ensuring fair contribution across different data sources. By applying statistical normalization techniques, the system ensures that extreme valuations are detected relative to the asset's own historical behavior rather than arbitrary thresholds.
3.Valuation Score & Interpretation
🔹 CycleSync Score Ranges
- 📉 Strongly Oversold (-2 and below) → Market is extremely undervalued; potential reversal.
- 📉 Moderately Oversold (-1.5 to -2) → Discounted market conditions, buying interest may emerge.
- 📉 Slightly Oversold (-0.5 to -1.5) → Possible accumulation phase.
- ⚖ Fair Value (-0.5 to +0.5) → Market trading at equilibrium.
- 📈 Slightly Overbought (+0.5 to +1.5) → Initial signs of market strength.
- 📈 Moderately Overbought (+1.5 to +2) → Market heating up, caution warranted, selling interest may emerge.
- 📈 Strongly Overbought (+2 and above) → Extreme valuation, increased risk of correction.
This classification helps traders gauge overall market sentiment and make better allocation decisions.
Note : Past valuations and buy/sell signals generated by CycleSync do not guarantee future performance. Market conditions can change, and proper risk management should always be applied.
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Use Cases
✅ Crypto Traders & Long-Term Investors
Identify potential major market tops and bottoms using on-chain and price-based cycle indicators.Confirm long-term accumulation or distribution phases with CycleSync’s multi-cycle tracking.
✅ Macro Trend Followers
Detect macro bull and bear cycle shifts by integrating valuation metrics with trend-following strategies.
✅ Mean Reversion & Rotational Traders
Exploit valuation mean reversion strategies when assets enter extreme overvaluation or undervaluation zones. Rotate capital efficiently between risk-on and risk-off assets based on CycleSync’s valuation models.
✅ Risk Management & Portfolio Allocation
Adjust portfolio exposure by scaling in/out of positions based on historical valuation insights.
Use CycleSync’s Risk Ratios & CVDD metrics to refine entry and exit strategies.
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📊 Optimized for Bitcoin , Yet "Universally" Adaptable 🔄
CycleSync is primarily optimized for Bitcoin , leveraging their extensive on-chain and market data to provide robust long-term valuation insights. However, the system remains flexible and can be applied to other assets 📉📈—provided they have sufficient historical price data to support reliable statistical calculations.
Since CycleSync incorporates volume-based metrics, it is essential that the selected chart's ticker provides accurate volume data to function properly. For assets with limited history, results may be less reliable, as long-term valuation models depend on deep market data for precision.
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Conclusion
CycleSync is a powerful full-cycle valuation system designed to provide deep market insights 📊 by blending on-chain metrics, statistical rescaling, and technical analysis. Whether you're tracking Bitcoin or other assets with sufficient historical data, this tool offers a structured framework for identifying overbought/oversold conditions, potential cycle tops/bottoms, and long-term market positioning.
With its dynamic adaptability, intuitive scaling mechanisms, and multi-metric integration ⚡, CycleSync empowers traders and investors to make more informed, data-driven decisions 📈. While no valuation model is infallible, combining CycleSync with broader market context and risk management strategies enhances its effectiveness.
🔹 Who Should Use Sentival?
✅ Swing Traders & Long-Term Investors looking for structured valuation metrics.
✅ Quantitative & Systematic Traders incorporating multi-factor models.
✅ Portfolio Managers optimizing exposure to different market regimes.
✅ Use CycleSync as a guiding framework—not a standalone signal— and gain a clearer perspective on the ever-evolving market cycles!
🔹 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Hourly Market Movement Pattern Indicator# Hourly Market Movement Pattern Indicator
This versatile technical analysis tool identifies the most active hours for trading by analyzing historical price movements. While it can be viewed on any timeframe chart, the indicator specifically tracks and displays which hours of the day historically show the strongest upward or downward price movements, helping traders optimize their trading schedule around these recurring hourly patterns.
## Core Features
- Tracks the best performing hours for both upward and downward movements
- Viewable on any timeframe chart while maintaining hourly analysis
- Clear visual display through a color-coded table overlay
- Real-time updates with new market data
- Works with all trading instruments (stocks, crypto, forex, futures, etc.)
## Timeframe Applications
### Chart Viewing Options
- Can be viewed on any timeframe chart (1min to Monthly)
- Maintains hourly pattern analysis regardless of chart timeframe
- Helps correlate hourly patterns with your preferred trading timeframe
- Allows detailed visualization of hourly patterns within your analysis period
### Intraday Trading
- Identify the most profitable hours for trading
- Plan trading sessions around historically strong hours
- Optimize entry and exit timing based on hourly patterns
- Structure day trading schedules around peak movement hours
### Swing Trading
- Use hourly statistics to optimize entry/exit timing
- Plan trade executions during historically strong hours
- Time position entries based on hourly success rates
- Enhance swing trading decisions with hourly pattern data
## Practical Applications
### Pattern Recognition
- Track recurring hourly market movements
- Identify institutional trading hour patterns
- Detect regular market cycle hours
- Recognize changes in hourly market behavior
### Risk Management
- Adjust position sizing based on historical hourly patterns
- Plan entries during statistically favorable hours
- Time stop loss adjustments around known volatile hours
- Scale positions according to hourly success rates
### Trade Planning
- Schedule trading sessions during optimal hours
- Plan trade executions around strong movement periods
- Structure trading day around peak hours
- Time position adjustments to favorable hours
## Setup Options
- Timeframe: View on any chart timeframe while tracking hourly patterns
- Visual Display: Non-intrusive table overlay
- Color Coding: Green for upward movements, Red for downward movements
- Hour Display: 24-hour format for global market compatibility
## Trading Strategy Integration
The indicator enhances trading approaches through:
- Optimal hour identification for trade execution
- Historical hourly pattern analysis
- Day trading session optimization
- Position timing based on hourly statistics
## Notes
This indicator proves particularly valuable for:
- Traders seeking to optimize their daily trading schedule
- Day traders focusing on peak market hours
- Swing traders optimizing entry/exit timing
- Traders adapting strategies to specific market hours
- International traders tracking hour-specific patterns across sessions
The tool's hourly pattern analysis provides crucial timing information regardless of your preferred chart timeframe or trading style, helping optimize trade execution around the most statistically favorable hours of the day.
Simple COT ReportCOT Net Positions Indicator
Author: © Munkhtur
This indicator provides a comprehensive visualization of the Commitment of Traders (COT) report data, enabling traders to analyze market sentiment and positioning for key market participants.
Key Features:
Dashboard Display: Shows the net positions of Commercial, Noncommercial, and Nonreportable (Retail) traders.
Dynamic Position Tracking: Highlights significant changes in long and short positions for all trader categories based on customizable percentage thresholds.
COT Data Integration: Utilizes Legacy COT report data with clear segregation of long, short, and net positions.
Visual Signals:
Bullish and bearish trends are indicated with customizable colors for better chart visualization.
Displays "open" and "close" position changes directly on the price candles for easier tracking.
Flexible Configuration: Adjustable settings for dashboard location, text size, percentage thresholds, and color schemes.
How to Use:
Load the Script: Add the indicator to your Futures chart only by navigating to the TradingView indicators menu and selecting it from your saved scripts.
Customize Settings:
Dashboard: Enable or disable the dashboard, and set its position (Top Left, Top Right, etc.).
Data on Candle: Turn on/off the visualization of COT data changes on price candles and define the percentage change threshold to focus on significant moves.
Style Options: Customize bullish and bearish colors for better visual differentiation.
Select Trader Group: Choose from Commercial, Noncommercial, or Nonreportable positions in the settings menu to analyze the specific group of market participants.
Interpret Signals:
Green bars indicate opening long positions or bullish sentiment.
Red bars highlight opening short positions or bearish sentiment.
Yellow and purple bars signify the closure of long and short positions, respectively.
Use Cases:
Identify market sentiment shifts by observing net position changes among different trader groups.
Spot potential trend reversals based on COT data dynamics.
Use as a complementary tool to confirm your existing trading strategies.
Disclaimer:
This indicator is a tool for educational and informational purposes only. Always combine it with your own analysis and risk management strategy when trading.
BTX27-MAXIndicator Description: BTX27-MAX
The BTX27-MAX is a comprehensive trading indicator designed to provide traders with customizable signals and alerts based on RSI and ATR calculations. It offers both automatic and manual configurations, making it adaptable to various currency pairs and trading styles. The indicator integrates with Telegram for real-time alerts and includes features for trade management and performance tracking.
Key Features:
Customizable Color Themes: Choose between Dark and Light color styles to match your chart preferences.
Automatic or Manual Configuration: Automatically sets optimal parameters for selected currency pairs or allows manual input for personalized settings.
RSI and ATR-Based Signals: Utilizes RSI smoothing and ATR calculations to identify potential trading opportunities.
Automatic SL and TP Levels: Projects customizable Stop-Loss and Take-Profit levels directly on the chart.
Telegram Integration: Sends customized buy or sell alerts with trade details to your Telegram channel.
Day and Time Filters: Allows selection of trading days and specific trading hours for signal generation.
Trade Summary Table: Displays the results of the last three trades (Win/Loss) directly on the chart.
Customizable Alert Messages: Personalize the messages sent to Telegram for both buy and sell signals.
Visual Enhancements: Colors candles based on trend direction and highlights the trading session on the chart.
How Does the Indicator Work?
Color Style Selection:
- Choose between "Dark" or "Light" themes to match your chart setup.
Currency Pair Selection:
- Select from predefined currency pairs: "EURUSD M5", "USDCAD M3", "GBPUSD M9", "XAUUSD M9".
Automatic vs. Manual Configuration:
- Automatic Configuration: When enabled, the indicator automatically sets parameters optimized for the selected currency pair.
- Manual Configuration: Allows you to input your own parameters for RSI period, smoothing factor, liquidity factors, and SL/TP ticks.
Telegram Integration:
- Input your Telegram chat ID to receive real-time alerts when signals are generated.
Trading Days and Hours:
- Customize which days of the week you want to receive signals.
- Set specific trading start and end hours to focus on preferred trading sessions.
Indicator Calculations:
- Calculates RSI and applies smoothing to identify the trend.
- Uses ATR for volatility measurement and to set dynamic liquidity bands.
Signal Generation:
- A Buy Signal is generated when specific RSI and ATR conditions are met.
- A Sell Signal is generated under the opposite conditions.
- Signals are only generated during the specified trading days and hours.
Trade Execution Visuals:
- Automatically draws SL and TP boxes on the chart for each signal.
- Colors candles based on trend direction: bullish, bearish, or neutral.
Telegram Alerts:
- Sends customized messages to your Telegram channel, including trade details like entry price, SL, TP, volatility, and trend direction.
Trade Summary Table:
- Displays the results of the last three trades ("✅ TP" for Take Profit hit, "❌ SL" for Stop Loss hit) on the chart.
How to Use the Indicator?
Setup:
- Add the indicator to your TradingView chart.
- Choose your preferred Color Style (Dark or Light).
- Select the Currency Pair you are trading.
- Decide whether to use Automatic Configuration or input your own settings.
Configure Telegram Alerts:
- Input your Telegram Chat ID to receive alerts.
- Customize the Buy and Sell alert messages if desired.
Set Trading Days and Hours:
- Enable or disable trading on specific days of the week.
- Set your preferred trading session hours.
Monitor Signals:
- Watch for buy or sell labels appearing on the chart.
- Use the SL and TP boxes to plan your trade entries and exits.
Review Trade Performance:
- Check the trade summary table to see the outcomes of recent trades.
What Makes This Indicator Original?
Adaptable Configuration: Offers both automatic and manual settings, making it suitable for traders of all levels and various trading instruments.
Comprehensive Alerts: Provides detailed alerts via Telegram, including custom messages and comprehensive trade information.
Trade Management Tools: Automatically calculates and visualizes SL and TP levels, aiding in effective risk management.
Performance Tracking: Includes an on-chart summary of recent trade results, helping traders assess the indicator's effectiveness over time.
Visual Customization: Enhances chart visuals with color themes, candle coloring, and trading session highlights.
Additional Considerations
Testing and Optimization: Before using the indicator in live trading, test it in a demo account and adjust settings as needed.
Complementary Analysis: Use in conjunction with other technical or fundamental analysis tools to confirm signals.
Risk Management: Ensure that the automatically calculated SL and TP levels align with your risk tolerance and trading strategy.
Market Awareness: Stay informed about economic events that may impact the instruments you are trading.
Example Configuration
Assuming you are trading "EURUSD M5" with Automatic Configuration enabled:
RSI Period: 15
RSI Smoothing Factor: 14
Rapid Liquidity Factor: 2.238
Liquidity Threshold: 15
SL Ticks: 100
TP Ticks: 300
Trading Days: Tuesday, Wednesday, Thursday
Trading Hours: Start at 8:00, End at 10:00
Telegram Chat ID: Your unique Telegram chat ID
Conclusion
The BTX27-MAX indicator is a versatile tool that combines technical analysis with automated trade management and alerting features. Its adaptability through automatic and manual configurations makes it suitable for a wide range of trading styles and instruments. By integrating real-time Telegram alerts and providing on-chart visual aids, it enhances decision-making processes and helps traders manage their trades more effectively.
Ready for immediate use in TradingView, this indicator can be a valuable addition to your trading toolkit.
Prime Multi-Ticker Screener: Real-Time Market StructurePrime Multi-Ticker Screener: Real-Time Market Structure and Trend Detection Tool
Prime Multi-Ticker Screener is designed to track multiple tickers simultaneously, providing real-time insights into market trends and structure changes such as CHoCH (Change of Character) and BOS (Break of Structure). This tool is perfect for traders looking to monitor multiple assets across different timeframes while receiving clear signals that highlight critical market shifts. The indicator delivers instant visual feedback with color-coded backgrounds to make interpreting signals easy and efficient.
Core Features of Prime Multi-Ticker Screener
Multi-Ticker Monitoring: Track up to 5 tickers across multiple timeframes in a single dashboard. This makes it easy to watch several assets at once without cluttering your chart.
CHoCH and BOS Detection: The screener automatically detects and highlights significant market structure shifts. CHoCH signals are shown when a trend reverses or consolidates, while BOS signals indicate a break in previous highs or lows, helping traders catch potential trend reversals early.
Color-Coded Visuals: The background of each signal cell dynamically changes color to represent bullish or bearish signals. Green indicates bullish activity, while red highlights bearish market shifts, making it easy for traders to identify key movements at a glance.
Close Price and ATR Data: For each ticker, the screener displays both the current close price and the 14-period Average True Range (ATR), providing important volatility information to support decision-making.
Detailed Explanation of How Prime Multi-Ticker Screener Works
Prime Multi-Ticker Screener combines trend detection with real-time market structure analysis to deliver comprehensive market insights. It analyzes the following components:
CHoCH Detection: Change of Character occurs when the market switches from trending to ranging or vice versa. This indicator catches these moments by identifying when prices cross pivot levels, providing traders with a valuable signal of potential market phase changes.
BOS Detection: The Break of Structure function highlights moments when the price breaks a significant high or low, often indicating the start of a new trend or the continuation of an existing one.
Close Price & ATR Monitoring: Alongside market structure signals, the screener provides real-time data on the close price and the Average True Range (ATR), ensuring traders have a complete picture of the price and volatility landscape for each asset they are tracking.
Why It's Useful for Traders
Prime Multi-Ticker Screener is a versatile tool that offers substantial benefits to traders who want to stay informed about multiple assets and trends simultaneously:
Comprehensive Monitoring: Track multiple assets in real time, all from a single indicator. Whether you trade crypto, forex, or stocks, this tool helps you stay on top of market movements across different assets and timeframes.
Market Structure Analysis: The automatic detection of CHoCH and BOS signals gives traders an edge by identifying potential reversals and trend continuations as they happen, allowing for more timely and informed trading decisions.
Efficient and Intuitive Design: The screener is designed with simplicity in mind. The color-coded backgrounds quickly alert traders to market structure shifts without overwhelming them with data, making it ideal for those who need to act fast.
How It Works: Practical Usage
Prime Multi-Ticker Screener is ideal for:
Day traders: The real-time tracking of multiple assets allows day traders to quickly spot trading opportunities across different markets.
Swing traders: CHoCH and BOS detection help swing traders catch key market structure shifts, helping them align trades with emerging trends.
Trend followers: The screener provides instant feedback on when a trend is continuing or breaking, helping trend-following traders maintain their positions or exit early when needed.
By combining multiple key metrics—price, volatility, and market structure—Prime Multi-Ticker Screener ensures traders are well-equipped to manage their positions across a variety of assets.
Risk Disclaimer
While Prime Multi-Ticker Screener provides valuable market insights, it's important to remember:
Past performance is not indicative of future results: This screener provides analysis based on historical data, and no indicator can predict future market movements with certainty.
Market Conditions: The effectiveness of Prime Multi-Ticker Screener may vary in different market conditions, so traders should always use proper risk management when trading.
Trading Risks: Like any trading tool, Prime Multi-Ticker Screener should be used as part of a comprehensive trading strategy, including risk management techniques such as stop-loss orders and position sizing.
Bull Market Drawdowns V1.0 [ADRIDEM]Bull Market Drawdowns V1.0
Overview
The Bull Market Drawdowns V1.0 script is designed to help visualize and analyze drawdowns during a bull market. This script calculates the highest high price from a specified start date, identifies drawdown periods, and plots the drawdown areas on the chart. It also highlights the maximum drawdowns and marks the start of the bull market, providing a clear visual representation of market performance and potential risk periods.
Unique Features of the New Script
Default Timeframe Configuration: Allows users to set a default timeframe for analysis, providing flexibility in adapting the script to different trading strategies and market conditions.
Customizable Bull Market Start Date: Users can define the start date of the bull market, ensuring the script calculates drawdowns from a specific point in time that aligns with their analysis.
Drawdown Calculation and Visualization: Calculates drawdowns from the highest high since the bull market start date and plots the drawdown areas on the chart with distinct color fills for easy identification.
Maximum Drawdown Tracking and Labeling: Tracks the maximum drawdown for each period and places labels on the chart to indicate significant drawdowns, helping traders identify and assess periods of higher risk.
Bull Market Start Marker: Marks the start of the bull market on the chart with a label, providing a clear reference point for the beginning of the analysis period.
Originality and Usefulness
This script provides a unique and valuable tool by combining drawdown analysis with visual markers and customizable settings. By calculating and plotting drawdowns from a user-defined start date, traders can better understand the performance and risks associated with a bull market. The script’s ability to track and label maximum drawdowns adds further depth to the analysis, making it easier to identify critical periods of market retracement.
Signal Description
The script includes several key visual elements that enhance its usefulness for traders:
Drawdown Area : Plots the upper and lower boundaries of the drawdown area, filling the space between with a semi-transparent color. This helps traders easily identify periods of market retracement.
Maximum Drawdown Labels : Labels are placed on the chart to indicate the maximum drawdown for each period, providing clear markers for significant drawdowns.
Bull Market Start Marker : A label is placed at the start of the bull market, marking the beginning of the analysis period and helping traders contextualize the drawdown data.
These visual elements help quickly assess the extent and impact of drawdowns within a bull market, aiding in risk management and decision-making.
Detailed Description
Input Variables
Default Timeframe (`default_timeframe`) : Defines the timeframe for the analysis. Default is 720 minutes
Bull Market Start Date (`start_date_input`) : The starting date for the bull market analysis. Default is January 1, 2023
Functionality
Highest High Calculation : The script calculates the highest high price on the specified timeframe from the user-defined start date.
```pine
var float highest_high = na
if (time >= start_date)
highest_high := na(highest_high ) ? high : math.max(highest_high , high)
```
Drawdown Calculation : Determines the drawdown starting point and calculates the drawdown percentage from the highest high.
```pine
var float drawdown_start = na
if (time >= start_date)
drawdown_start := na(drawdown_start ) or high >= highest_high ? high : drawdown_start
drawdown = (drawdown_start - low) / drawdown_start * 100
```
Maximum Drawdown Tracking : Tracks the maximum drawdown for each period and places labels above the highest high when a new high is reached.
```pine
var float max_drawdown = na
var int max_drawdown_bar_index = na
if (time >= start_date)
if na(max_drawdown ) or high >= highest_high
if not na(max_drawdown ) and not na(max_drawdown_bar_index) and max_drawdown > 10
label.new(x=max_drawdown_bar_index, y=drawdown_start , text="Max -" + str.tostring(max_drawdown , "#") + "%",
color=color.red, style=label.style_label_down, textcolor=color.white, size=size.normal)
max_drawdown := 0
max_drawdown_bar_index := na
else
if na(max_drawdown ) or drawdown > max_drawdown
max_drawdown := drawdown
max_drawdown_bar_index := bar_index
```
Drawdown Area Plotting : Plots the drawdown area with upper and lower boundaries and fills the area with a semi-transparent color.
```pine
drawdown_area_upper = time >= start_date ? drawdown_start : na
drawdown_area_lower = time >= start_date ? low : na
p1 = plot(drawdown_area_upper, title="Drawdown Area Upper", color=color.rgb(255, 82, 82, 60), linewidth=1)
p2 = plot(drawdown_area_lower, title="Drawdown Area Lower", color=color.rgb(255, 82, 82, 100), linewidth=1)
fill(p1, p2, color=color.new(color.red, 90), title="Drawdown Fill")
```
Current Maximum Drawdown Label : Places a label on the chart to indicate the current maximum drawdown if it exceeds 10%.
```pine
var label current_max_drawdown_label = na
if (not na(max_drawdown) and max_drawdown > 10)
current_max_drawdown_label := label.new(x=bar_index, y=drawdown_start, text="Max -" + str.tostring(max_drawdown, "#") + "%",
color=color.red, style=label.style_label_down, textcolor=color.white, size=size.normal)
if (not na(current_max_drawdown_label))
label.delete(current_max_drawdown_label )
```
Bull Market Start Marker : Places a label at the start of the bull market to mark the beginning of the analysis period.
```pine
var label bull_market_start_label = na
if (time >= start_date and na(bull_market_start_label))
bull_market_start_label := label.new(x=bar_index, y=high, text="Bull Market Start", color=color.blue, style=label.style_label_up, textcolor=color.white, size=size.normal)
```
How to Use
Configuring Inputs : Adjust the default timeframe and start date for the bull market as needed. This allows the script to be tailored to different market conditions and trading strategies.
Interpreting the Indicator : Use the drawdown areas and labels to identify periods of significant market retracement. Pay attention to the maximum drawdown labels to assess the risk during these periods.
Signal Confirmation : Use the bull market start marker to contextualize drawdown data within the overall market trend. The combination of drawdown visualization and maximum drawdown labels helps in making informed trading decisions.
This script provides a detailed view of drawdowns during a bull market, helping traders make more informed decisions by understanding the extent and impact of market retracements. By combining customizable settings with visual markers and drawdown analysis, traders can better align their strategies with the underlying market conditions, thus improving their risk management and decision-making processes.
AllTheUpsTheresAlwaysDowns "AllTheUpsTheresAlwaysDowns" ☆ATUTAD☆ // w%r + ma indicator designed for forex trading.
This indicator combines the Williams %R, moving averages, and session tracking.
Key Inputs:
Williams%Range Period: Adjusts the sensitivity of the Williams %R calculation.
Moving Average Period: Defines the period for the moving average used in the indicator.
Overbought and Oversold Thresholds: Sets the thresholds for identifying overbought and oversold conditions.
Features:
Williams %R Calculation: Calculates the Williams %R, a momentum oscillator that measures overbought and oversold levels.
Moving Averages: Plots two moving averages to capitalize on and visualize trend direction.
Session Tracking: Identifies the start and end of trading sessions (Tokyo, London, New York) for better session-based analysis.
Signal Generation: Generates buy/sell signals based on Williams %R levels and moving average crossovers.
Color Coding: Visualizes color-coded bars and shapes to highlight different market conditions and signal types.
Alerts: For buy/sell signals and overbought/oversold conditions to prompt timely actions.
Usage Tips:
Interpret Signals: Trend direction through buy/sell signals and overbought/oversold trend,- reversal / breakout line conditions for potential trading opportunities.
Session Awareness: Take into account the trading sessions (Tokyo, London, New York) to move along with the market dynamics during different times of the day.
Confirmation: Use additional technical analysis tools to confirm signals before executing trades. For example the Williams Percetange Range indicator.
Risk Management: Trade with proper risk management strategies to avoid potential losses.
HappyTrading
Dividend Calendar (Zeiierman)█ Overview
The Dividend Calendar is a financial tool designed for investors and analysts in the stock market. Its primary function is to provide a schedule of expected dividend payouts from various companies.
Dividends, which are portions of a company's earnings distributed to shareholders, represent a return on their investment. This calendar is particularly crucial for investors who prioritize dividend income, as it enables them to plan and manage their investment strategies with greater effectiveness. By offering a comprehensive overview of when dividends are due, the Dividend Calendar aids in informed decision-making, allowing investors to time their purchases and sales of stocks to optimize their dividend income. Additionally, it can be a valuable tool for forecasting cash flow and assessing the financial health and dividend-paying consistency of different companies.
█ How to Use
Dividend Yield Analysis:
By tracking dividend growth and payouts, traders can identify stocks with attractive dividend yields. This is particularly useful for income-focused investors who prioritize steady cash flow from their investments.
Income Planning:
For those relying on dividends as a source of income, the calendar helps in forecasting income.
Trend Identification:
Analyzing the growth rates of dividends helps in identifying long-term trends in a company's financial health. Consistently increasing dividends can be a sign of a company's strong financial position, while decreasing dividends might signal potential issues.
Portfolio Diversification:
The tool can assist in diversifying a portfolio by identifying a range of dividend-paying stocks across different sectors. This can help mitigate risk as different sectors may react differently to market conditions.
Timing Investments:
For those who follow a dividend capture strategy, this indicator can be invaluable. It can help in timing the buying and selling of stocks around their ex-dividend dates to maximize dividend income.
█ How it Works
This script is a comprehensive tool for tracking and analyzing stock dividend data. It calculates growth rates, monthly and yearly totals, and allows for custom date handling. Structured to be visually informative, it provides tables and alerts for the easy monitoring of dividend-paying stocks.
Data Retrieval and Estimation: It fetches dividend payout times and amounts for a list of stocks. The script also estimates future values based on historical data.
Growth Analysis: It calculates the average growth rate of dividend payments for each stock, providing insights into dividend consistency and growth over time.
Summation and Aggregation: The script sums up dividends on a monthly and yearly basis, allowing for a clear view of total payouts.
Customization and Alerts: Users can input custom months for dividend tracking. The script also generates alerts for upcoming or current dividend payouts.
Visualization: It produces various tables and visual representations, including full calendar views and income tables, to display the dividend data in an easily understandable format.
█ Settings
Overview:
Currency:
Description: This setting allows the user to specify the currency in which dividend values are displayed. By default, it's set to USD, but users can change it to their local currency.
Impact: Changing this value alters the currency denomination for all dividend values displayed by the script.
Ex-Date or Pay-Date:
Description: Users can select whether to show the Ex-dividend day or the Actual Payout day.
Impact: This changes the reference date for dividend data, affecting the timing of when dividends are shown as due or paid.
Estimate Forward:
Description: Enables traders to predict future dividends based on historical data.
Impact: When enabled, the script estimates future dividend payments, providing a forward-looking view of potential income.
Dividend Table Design:
Description: Choose between viewing the full dividend calendar, just the cumulative monthly dividend, or a summary view.
Impact: This alters the format and extent of the dividend data displayed, catering to different levels of detail a user might require.
Show Dividend Growth:
Description: Users can enable dividend growth tracking over a specified number of years.
Impact: When enabled, the script displays the growth rate of dividends over the selected number of years, providing insight into dividend trends.
Customize Stocks & User Inputs:
This setting allows users to customize the stocks they track, the number of shares they hold, the dividend payout amount, and the payout months.
Impact: Users can tailor the script to their specific portfolio, making the dividend data more relevant and personalized to their investments.
-----------------
Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Breakout & Trend & Scalping (Zeiierman)█ Overview
Breakout & Trend & Scalping (Zeiierman) transforms time, volume, and trend behavior into a unified visual framework for identifying market expansion, compression, and breakout phases. Instead of viewing price as an isolated movement, the indicator reinterprets it as a continuous relationship between time-driven flow, volume displacement, and trend momentum.
The system constructs a hybrid analytical field using OBV-based flow modeling, time–trend alignment, and adaptive candle smoothing, providing a clear and fluid representation of both breakout probability and structural trend strength.
This advanced framework adapts to different market contexts, including intraday scalping, swing-trend validation, and multi-timeframe continuation analysis, revealing how volume and trend energy accumulate before volatility expansion.
⚪ Why This One Is Unique
Unlike conventional breakout or trend indicators that rely solely on price or volatility, this tool integrates time-weighted OBV mechanics, multi-timeframe trend correlation, and volatility-normalized candle transformation.
Its design leverages an adaptive Time–Trend Integration Engine that adjusts dynamically based on the selected timeframe and method. The result is a fluid, self-normalizing view of market rhythm, capturing not only the visible structure of trends but also the hidden buildup of momentum that precedes breakouts.
█ Main Feature: BTS Adaptive Candle System
The BTS Adaptive Candle System unifies time-based and trend-based flow analysis into a single visual model of market behavior. It synchronizes short-term momentum with long-term trend equilibrium, revealing how volume and directional energy evolve across different temporal structures.
The flow is inherently adaptive. During stable phases, it compresses volatility to emphasize directional persistence and trend continuity. When acceleration builds, it expands to highlight breakout potential and the ignition of new momentum.
Green-to-red and (red-to-green) transitions indicate shifts in order-flow dominance, while color intensity reflects the relative strength of participation. The built-in smoothing system filters out random noise while maintaining fast response to emerging direction, making the BTS Candle System equally effective for scalping precision, breakout confirmation, and long-term trend tracking.
█ How to Use
⚪ Trend Trading
Bullish trends appear when candles remain near the top of their range with bright, steady coloration. This structure shows sustained accumulation and consistent trend support. Fading color or mixed tones suggest short pauses or shallow pullbacks within an ongoing uptrend.
Bearish trends form when candles cluster near the lower range and deepen in red intensity, reflecting growing selling pressure. Consistent red sequences mark continued distribution, while lighter tones or brief color shifts often precede corrective bounces within a broader downtrend.
⚪ Trend Change Trading
When a large BTS candle crosses the midline, it often marks a decisive shift in market control. A strong candle breaking above the midline reflects dominant buying flow and the early phase of bullish momentum, often signaling the start of a new upward trend.
Conversely, when a large candle drops below the midline, it shows dominant selling pressure and the potential beginning of a downward cycle.
These midline transitions represent key moments where institutional flow changes direction. A rapid color shift or fading saturation in candles around these areas frequently precedes a trend reversal or volatility breakout, making them powerful confirmation points for both breakout and trend-change strategies.
⚪ Retracement/Pullback Trading
When BTS candles remain green or turn light yellow near the midline, it indicates balanced momentum as price consolidates during a temporary retracement. A renewed shift back to bright green candles from this area often signals the end of the pullback and the continuation of the uptrend.
In a downtrend, when BTS candles shift to light yellow or fade toward the midline, it shows a temporary slowdown in selling pressure as the price retraces upward. A return to deep red candles after this brief balance phase confirms renewed selling momentum and continuation of the prevailing downtrend.
⚪ Breakout Trading
Big candles in the BTS indicate a shift in control. If this occurs around a resistance level, there is a high chance that price will break out upward.
Similarly, if a large downward BTS candle appears near a support level, there is a high chance that a bearish breakout will follow through.
█ How It Works
⚪ Integrated Market Framework
The BTS system merges time, trend, and volatility behavior into a single adaptive flow field. It constantly balances fast and slow market components, maintaining a smooth equilibrium between short-term reactions and long-term structure.
Calculation: Uses normalized scaling and adaptive synchronization to align directional momentum across changing market states.
⚪ Core Trend Engine
At its center, the model interprets how price movement evolves within its volatility range. It tracks shifts in directional energy and transforms them into a stable momentum surface that highlights both trend continuation and turning points.
Calculation: Applies equilibrium-based mapping to sustain consistent directional flow even during market acceleration or compression.
⚪ Volatility Envelope System
The indicator forms a dynamic envelope around price movement, expanding and contracting with the current market speed. These zones reflect where energy concentrates or fades, helping visualize breakout potential and exhaustion levels.
Calculation: Adapts envelope boundaries through volatility-responsive scaling and balanced symmetry control.
⚪ Adaptive Time Modes
Two adaptive modes — Time and Trend — control how the model responds to changing conditions. The system automatically adjusts its responsiveness, allowing it to behave as a fast scalping model or a slow trend tracker without losing structural balance.
Calculation: Dynamically modifies its internal scaling to maintain equilibrium between speed and smoothness across selected timeframes.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Paid script
TradeChartist PowerTracer™TradeChartist PowerTracer is an exceptionally well designed and functional indicator, requiring minimal user input to trace the asset's Bull and Bear Power. The indicator makes it visually engaging with its various color schemes and intelligent positioning of the PowerTracer Bar, tracking not just the current trend, but also the developing trend using a visually easy to understand Power plots.
What does ™TradeChartist PowerTracer do?
1. Tracks Bull and Bear Power and plots the information visually on chart using one of the following 3 Power plot options based on high or low power detection sensitivity.
𝗣𝗼𝘄𝗲𝗿𝗧𝗿𝗮𝗰𝗲𝗿 - Plot of the Bull and Bear Power Oscillator, pivotal to this script that tracks the true Bull and Bear Power along with Bull/Bear oscillator reading, calculated dynamically using a unique and original formula. Values beyond 50 and -50 are quite rare, but theoretically, they can go beyond 80 and -80. 𝗣𝗼𝘄𝗲𝗿𝗧𝗿𝗮𝗰𝗲𝗿's highs and lows are also tracked and updated real-time using labels placed exactly at the Highs and Lows with their readings.
Bar-wise Power Holder - Absolute Bull and Bear power of each bar. It is plotted by calculating the difference between Bull and Bear Power or each bar. The values can swing between -100 and +100 even though values above 90 and below 90 are rare. The bar color on the chart will be painted using this value to visually display the Bull/Bear strength if "Paint Bars on Chart" is enabled from the indicator settings.
Bar-wise Power Fight - Plot of Maximum Bull and Bear Power of every bar that helps visualize the fight between Bulls and Bears in each bar.
2. Visually displays the Balance of Power between the Bulls and the Bears using Opponent Power Gain background fill when it is 50% or over. For example, if the current PowerTracer plot is a Bull zone, enabling this setting with Opponent Power Gain % set at 75, will paint the background when Bear Power increases beyond 75% using the Bear Power Intensity fill based on Color Scheme the user opts from the settings. This option can be enabled or disabled from settings and the Opponent Power gain % (minimum 50%) can also be adjusted to spot the change in price trend early on.
3. Uses an accompanying 𝗣𝗼𝘄𝗲𝗿𝗧𝗿𝗮𝗰𝗲𝗿 bar that helps spot the true bull and bear power using simple linear blocks, displaying the power level using power intensity colors based on the color scheme.
4. Paints price bars and PowerTracer background using Power intensity colors based on Color Scheme from the indicator settings, which helps spot the increase or decrease in Bull and Bear Power.
5. Inverts bar colors, background fill and PowerTracer bar color to help see price using the Opponent's Point of View.
What markets can this indicator be used on?
-- Forex
-- Stocks - works best with 4hr or above and prices calculated taking gaps into account.
-- Commodities
-- Cryptocurrencies
and almost any asset on Trading View
What time-frames can this indicator be used on?
This indicator can be used on all timeframes. If the asset has very little volume/volatility or is far low in comparative value against the base currency, power detection can be choppy, but with most assets, this won't be an issue.
Does this indicator repaint?
-- No. Real-time Power plots can change colors and values based on current bar close as values get calculated dynamically. Once the bar closes, plots and power intensity colors don't repaint.
-- This can be verified using Bar Replay to check if the plots and fills stay in the same bar in real time as the Bar Replay
Does the indicator send alerts when the power shifts from Bull to Bear or from Bear to Bull?
Yes. Users can get alerts when Power gets shifted using Trading View alerts. This can be done by choosing '™TradeChartist PowerTracer' and 'Powershift to Bulls' or 'Powershift to Bears' under Trading View Alert condition and by using 'Once per bar close' as user needs to wait for candle close for Power shift confirmation.
Example Charts
In this split screen chart of Bitcoin, it can be seen how the 30m chart on left is Bearish and 5m chart on right is Bullish based on Power changes. The trend can be spotted on PowerTracer by spotting the Opponent's background fill that started showing when Opponent's power gained by over 75%. This is a good example using the script for scalping/swing trading using 2 timeframes. Note that the chart on the left shows Price bars and PowerTracer bar with inverted colors to show Opponent's point of view.
In this 15m chart of GBP-USD, 100% Power gain for Entries and Exits is used. This is a more conservative approach and is suited for less aggressive traders based on complete change of trend.
In this 2hr chart of Ethereum, all 3 Power plots are used to identify the trend using low sensitivity using 100% Power Gain entries and this shows how a trade can be held longer to maximise gains using entries with Power shift confirmations.
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This is not a free to use indicator. Get in touch with me (PM me directly if you would like trial access to test the indicator)
Premium Scripts - Trial access and Information
Trial access offered on all Premium scripts.
PM me directly to request trial access to the scripts or for more information.
===================================================================================================================
Destiny Atlas Energy Navigation PRO - Destiny QuantDestiny Atlas Energy Navigation PRO - Destiny Quant | 【天機圖】能量導航
English Description
Visualizing Market Momentum. Destiny Atlas Energy Navigation PRO is the ultimate guide for trend followers. By replacing traditional candles with high-visibility "Energy Bricks" (Neon Blue & Flowing Gold), it allows traders to filter market noise and ride the trend with absolute clarity.
The Pro Tracker: Built-in professional dashboard tracks your Entry Price, Duration, and Floating PnL.
Momentum Logic: Powered by the V22 core engine, synchronizing Daily, Weekly, and Monthly cycles.
Visual Clarity: Optimized for dark mode, providing a high-end quantitative terminal experience.
中文說明
市場動能的導引之圖 【天機圖】能量導航 PRO 是順勢交易者的終極指引。本指標以具備極高辨識度的 「實心能量磚」（天機藍與流金色）取代傳統 K 線，協助交易者過濾雜訊，清晰捕捉每一段趨勢。
專業持倉監控：內建數據面板，自動追蹤進場價、持倉天數與即時損益。
動能核心：搭載 V22 運算核心，完美同步日、週、月線的多週期共振。
極致美學：專為深色模式優化，營造專業級量化交易終端機的視覺質感。
🚀 Get Access / 獲取授權 This is an Invite-only script. To unlock the Celestial Mirror, please:
Visit the link in my profile.
Send a direct message for subscription details.
本指標為 僅限邀請 (Invite-only)。欲獲取授權，請：
點擊我個人主頁的連結（官網/商店）。
透過 TradingView 私訊聯繫我了解訂閱詳情。
BTC - ALSI: Altcoin Season Index (Dynamic Eras)Title: BTC - ALSI: Altcoin Season Index (Dynamic Eras)
Overview & Philosophy
The Altcoin Season Index (ALSI) is a quantitative tool designed to answer the most critical question in crypto capital rotation: "Is it time to hold Bitcoin, or is it time to take risks on Altcoins?"
Most "Altseason" indicators suffer from Survivor Bias or Obsolescence. They either track a static list of coins that includes "dead" assets from previous cycles (ghosts of 2017), or they break completely when major tokens collapse (like LUNA or FTT).
This indicator solves this by using a Time-Varying Basket. The indicator automatically adjusts its reference list of Top 20 coins based on historical eras. This ensures the index tracks the winners of the moment—capturing the DeFi summer of 2020, the NFT craze of 2021, and the AI/Meme narratives of 2024/2025.
Methodology
The indicator calculates the percentage of the Top 20 Altcoins that are outperforming Bitcoin over a rolling window (Default: 90 Days).
The "Win" Count: For every major Altcoin performing better than BTC, the index adds a point.
Dynamic Eras: The basket of coins changes depending on the date:
2020 Era (DeFi Summer): Tracks the "Blue Chips" of the DeFi revolution like UNI, LINK, DOT, and early movers like VET and FIL.
2021 Era (Layer 1 Wars): Tracks the explosion of alternative smart contract platforms, adding winners like SOL, AVAX, MATIC, and ALGO.
2022 Era (The Survivors): Filters for resilience during the Bear Market, solidifying the status of established assets like SHIB and ATOM.
2023 Era (Infrastructure & Scale): Captures the rise of "Next-Gen" tech leading into the pre-halving year, introducing TON, APT (Aptos), and ARB (Arbitrum).
2024/25 Era (AI & Speed): Tracks the current Super-Cycle leaders, focusing on the AI narrative (TAO, RNDR), High-Performance L1s (SUI), and modern Memes (PEPE).
Chart Analysis & Strategy ( The "Alpha" )
As seen in the chart above, there is a strong correlation between ALSI Peaks and local tops in TOTAL3 (The Crypto Market Cap excluding BTC & ETH).
The Entry (Rotation): When the indicator rises above the neutral 50 line, it signals that capital is beginning to rotate out of Bitcoin and into Altcoins. This has historically been a strong confirmation signal to increase exposure to high-beta assets.
The Exit (Saturation): When the indicator hits 100 (or sustains in the Red Zone > 75), it means every single Altcoin is beating Bitcoin. Historically, this extreme exuberance often marks a local top in the TOTAL3 chart. This is the zone where smart money typically sells into strength, rather than opening new positions.
How to Read the Visuals
🚀 Altcoin Season (Red Zone > 75): Strong Altcoin dominance. The market is "Risk On."
🛡️ Bitcoin Season (Blue Zone < 25): Bitcoin dominance. Alts are bleeding against BTC. Historically, this is a defensive zone to hold BTC or Stablecoins.
Data Dashboard: A status table in the bottom-right corner displays the live Index Value, current Regime, and a System Check to ensure all 20 data feeds are active.
Settings
Lookback Period: Default 90 Days. Lowering this (e.g., to 30) makes the index faster but noisier.
Thresholds: Adjustable zones for Altcoin Season (Default: 75) and Bitcoin Season (Default: 25).
Credits & Attribution
This open-source indicator is built on the shoulders of giants. I acknowledge the original creators of the concept and the pioneers of its implementation on TradingView:
Original Concept: BlockchainCenter.net. - They established the industry standard definition: 75% of the Top 50 coins outperforming Bitcoin over 90 days = Altseason..
TradingView Implementation: Adam_Nguyen - He implemented the "Dynamic Era" logic (updating the coin list annually) on TradingView. Our code structure for the time-based switching is inspired by his methodology. See also his implementation in the chart. ( Altcoin Season Index - Adam) .
Comparison: Why use ALSI | RM?
While inspired by the above, ALSI introduces three key improvements:
Open Source: Unlike other popular TradingView versions (which are closed-source), this script is fully transparent. You can see exactly which coins are triggering the signal.
Sanitized History (Anti-Fragile): Historical Top 20 snapshots are not blindly used. "Dead" coins (like LUNA and FTT) from previous eras are manually filtered out. A raw index would crash during the Terra/FTX collapses, giving a false "Bitcoin Season" signal purely due to bad actors. The curated list preserves the integrity of the market structure signal.
Narrative Relevance: The 2024/25 basket was updated to include TAO (Bittensor) and RNDR, ensuring the index captures the dominant AI narrative, rather than tracking fading assets from the previous cycle.
You can compare the ALSI indicator with other available tradingview indicators in the chart: Different indicators for the same idea are shown in the 3 Pane window below the BTC and Total3 chart, whereas ALSI is the top pane indicator.
Important Note on Coin Selection Baskets are highly curated: Dead/irrelevant coins (FTT, LUNA, BSV) are excluded for clean signals. This prevents historical breaks and ensures Era T5 captures current narratives (AI, Memes) via TAO/RNDR. See above. Users are free to adjust the source code to test their own baskets.
Disclaimer
This script is for research and educational purposes only. Past correlations between ALSI and TOTAL3 do not guarantee future results. Market regimes can change, and "Altseasons" can be cut short by macro events.
Tags
bitcoin, btc, altseason, dominance, total3, rotation, cycle, index, alsi, Rob Maths
Fair Value Gap Signals [Kodexius]Fair Value Gap Signals is an advanced market structure tool that automatically detects and tracks Fair Value Gaps (FVGs), evaluates the quality of each gap, and highlights high value reaction zones with visual metrics and signal markers.
The script is designed for traders who focus on liquidity concepts, order flow and mean reversion. It goes beyond basic FVG plotting by continuously monitoring how price interacts with each gap and by quantifying three key aspects of each zone:
-Entry velocity inside the gap
-Volume absorption during tests
-Structural integrity and depth of penetration
The result is a dynamic, information rich visualization of which gaps are being respected, which are being absorbed, and where potential reversals or continuations are most likely to occur.
All visual elements are configurable, including the maximum number of visible gaps per direction, mitigation method (close or wick) and an ATR based filter to ignore insignificant gaps in low volatility environments.
🔹 Features
🔸 Automated Fair Value Gap Detection
The script detects both bullish and bearish FVGs based on classic three candle logic:
Bullish FVG: current low is strictly above the high from two bars ago
Bearish FVG: current high is strictly below the low from two bars ago
🔸 ATR Based Gap Filter
To avoid clutter and low quality signals, the script can ignore very small gaps using an ATR based filter.
🔸Per Gap State Machine and Lifecycle
Each gap is tracked with an internal status:
Fresh: gap has just formed and has not been tested
Testing: price is currently trading inside the gap
Tested: gap was tested and left, waiting for a potential new test
Rejected: price entered the gap and then rejected away from it
Filled: gap is considered fully mitigated and no longer active
This state machine allows the script to distinguish between simple touches, multiple tests and meaningful reversals, and to trigger different alerts accordingly.
🔸 Visual Ranking of Gaps by Metrics
For each active gap, three additional horizontal rank bars are drawn on top of the gap area:
Rank 1 (Vel): maximum entry velocity inside the gap
Rank 2 (Vol): relative test volume compared to average volume
Rank 3 (Dpt): remaining safety of the gap based on maximum penetration depth
These rank bars extend horizontally from the creation bar, and their length is a visual score between 0 and 1, scaled to the age of the gap. Longer bars represent stronger or more favorable conditions.
🔸Signals and Rejection Markers
When a gap shows signs of rejection (price enters the gap and then closes away from it with sufficient activity), the script can print a signal label at the reaction point. These markers summarize the internal metrics of the gap using a tooltip:
-Velocity percentage
-Volume percentage
-Safety score
-Number of tests
🔸 Flexible Mitigation Logic (Close or Wick)
You can choose how mitigation is defined via the Mitigation Method input:
Close: the gap is considered filled only when the closing price crosses the gap boundary
Wick: a full fill is detected as soon as any wick crosses the gap boundary
🔸 Alert Conditions
-New FVG formed
-Price entering a gap (testing)
-Gap fully filled and invalidated
-Rejection signal generated
🔹Calculations
This section summarizes the main calculations used under the hood. Only the core logic is covered.
1. ATR Filter and Gap Size
The script uses a configurable ATR length to filter out small gaps. First the ATR is computed:
float atrVal = ta.atr(atrLength)
Gap size for both directions is then measured:
float gapSizeBull = low - high
float gapSizeBear = low - high
If useAtrFilter is enabled, gaps smaller than atrVal are ignored. This ties the minimum gap size to the current volatility regime.
2. Fair Value Gap Detection
The basic FVG conditions use a three bar structure:
bool fvgBull = low > high
bool fvgBear = high < low
For bullish gaps the script stores:
-top as low of the current bar
-bottom as high
For bearish gaps:
-top as high of the current bar
-bottom as low
This defines the price range that is considered the imbalance area.
3. Depth and Safety Score
Depth measures how far price has penetrated into the gap since its creation. For each bar, the script computes a currentDepth and updates the maximum depth:
float currentDepth = 0.0
if g.isBullish
if l < g.top
currentDepth := g.top - l
else
if h > g.bottom
currentDepth := h - g.bottom
if currentDepth > g.maxDepth
g.maxDepth := currentDepth
The safety score expresses how much of the gap remains intact:
float depthRatio = g.maxDepth / gapSize
float safetyScore = math.max(0.0, 1.0 - depthRatio)
safetyScore near 1: gap is mostly untouched
safetyScore near 0: gap is mostly or fully filled
4. Velocity Metric
Velocity captures how aggressively price moves inside the gap. It is based on the body to range ratio of each bar that trades within the gap and rewards bars that move in the same direction as the gap:
float barRange = h - l
float bodyRatio = math.abs(close - open) / barRange
float directionBonus = 0.0
if g.isBullish and close > open
directionBonus := 0.2
else if not g.isBullish and close < open
directionBonus := 0.2
float currentVelocity = math.min(bodyRatio + directionBonus, 1.0)
The gap keeps track of the strongest observed value:
if currentVelocity > g.maxVelocity
g.maxVelocity := currentVelocity
This maximum is later used as velScore when building the velocity rank bar.
5. Volume Accumulation and Volume Score
While price is trading inside a gap, the script accumulates the traded volume:
if isInside
g.testVolume += volume
It also keeps track of the number of tests and the volume at the start of the first test:
if g.status == "Fresh"
g.status := "Testing"
g.testCount := 1
g.testStartVolume := volume
An average volume is computed using a 20 period SMA:
float volAvg = ta.sma(volume, 20)
The expected volume is approximated as:
float expectedVol = volAvg * math.max(1, (bar_index - g.index) / 2)
The volume score is then:
float volScore = math.min(g.testVolume / expectedVol, 1.0)
This produces a normalized 0 to 1 metric that shows whether the gap has attracted more or less volume than expected over its lifetime.
6. Rank Bar Scaling
All three scores are projected visually along the time axis as horizontal bars. The script uses the age of the gap in bars as the maximum width:
float maxWidth = math.max(bar_index - g.index, 1)
Then each metric is mapped to a bar length:
int len1 = int(math.max(1, maxWidth * velScore))
g.rankBox1.set_right(g.index + len1)
int len2 = int(math.max(1, maxWidth * volScore))
g.rankBox2.set_right(g.index + len2)
int len3 = int(math.max(1, maxWidth * safetyScore))
g.rankBox3.set_right(g.index + len3)
This creates an intuitive visual representation where stronger metrics produce longer rank bars, making it easy to quickly compare the relative quality of multiple FVGs on the chart.
SIFVG [ULTRA+]Introduction
Sweep Inverse Fair Value Gap° is a fully customizable charting tool built to track inversion fair value gap logic that occur after displacement events—specifically when Fair Value Gaps (FVGs) are closed through, and effectively flipping their original state. The tool is inspired by Inner Circle Trader (ICT) concepts, offering a clean visual interface to support traders studying price behaviour after liquidity sweeps, FVG closures, and highlighting mechanical swings targets.
This indicator does not draw zones or suggest direction. It operates entirely on confirmed price events and produces logic-bound visuals designed for traders who already understand IFVG-based reasoning and seek visual consistency across sessions, Timeframe on any instrument.
Key Terms and Definitions
• Swing High / Swing Low: A swing high is a local price peak with lower highs on either side. A swing low is a local trough with higher lows on either side. These are used to detect where liquidity may rest and are required for confirming the initial raid condition in the IFVG model.
• Liquidity Raid: This occurs when price trades through a prior swing high or low, effectively “sweeping” a level where orders may be clustered around. The raid is a required precursor to inversion logic in this model. The tool will not evaluate a potential Fair Value Gap or Inversion Fair Value Gap unless a swing high or low has been taken first.
• Fair Value Gap (FVG): A Fair Value Gap is a price imbalance that occurs when a strong move leaves a gap between candles—specifically, when the high of one candle and the low of a later candle do not overlap. FVGs often emerge during displacement and are commonly studied as inefficiencies within a price leg.
• Inversion Fair Value Gap: An inversion happens when price fully closes through an existing Fair Value Gap that raided liquidity, suggesting the original imbalance rebalanced, and looks to reverse its original role. For example, when a bearish FVG is closed above after raiding a swing low, it may present a shift in orderflow (bullish inversion). The tool recognizes SIFVGs as “inverted” after a candle body candle closes through the gap post raid.
• Displacement: A strong directional price move, typically with momentum, that leaves a Fair Value Gap behind. Displacement is important in inversion logic, as it creates the context and confidence in comparing and contrasting FVGs and Inversions for obvious flips in market behaviour.
• SIFVG Line: Once inversion occurs, the indicator draws a single horizontal array on the candle's close. It marks the start of model activation. This is not a prediction level or a support/resistance area, as it merely serves as a reference for when model logic is sequentially active.
• Opposing Swing: The swing high or low opposite the one that was swept during the initial raid. This becomes the model’s first target for mechanical delivery and is automatically drawn once the IFVG line is plotted. When price reaches this swing, the model has reached its mechanical objective and could offer opportunities for further continuation to additional liquidity pools if orderflow continues to be present.
• Invalidation: The Sweep Inversion Fair Value Gap is considered invalid in one of two scenarios, which the user can toggle individually: a body print back above/below the inversion in bearish/bullish conditions, or trading above/below the most recent swing high/low after the liquidity raid. The SIFVG line will continue extending until the setup is invalidated by the chosen toggle, or when the Opposing Swing is reached.
• Consequent Encroachment (CE): The midpoint (50%) of the FVG or SIFVG. This line can be optionally displayed for users who use the midpoint of imbalances for reference of imbalance respect. It is not required by the model’s internal logic but may assist with discretionary interpretation.
• Description
At its core, SIFVG follows a structured three-step logic sequence: a FVG is created, liquidity is taken, and the Fair Value Gap (FVG) inside of the leg of the raid is closed through, signally a potential orderflow shift. Once inversion is confirmed, an SIFVG line is plotted at the close of the candle that caused the inversion, making it the structural anchor for the model.
The tool does not account for partial fills or candle wicks for FVGs or SIFVGs. Only full-body closures through a qualifying FVG are recognized. When this occurs, a bullish or bearish inversion is plotted and the model becomes active. From there, the opposing swing (the unswept high or low from the displacement leg) is automatically drawn as the target for the model.
Key Features
The Bias allows traders to define whether to track bullish inversions (closing above bearish FVGs), bearish inversions (closing below bullish FVGs), or neutral to see both. This allows isolated directional focus as well as the ability to display all models.
The Session Filter enables traders to define up to four specific Time blocks when the model is permitted to trigger. The Macros Only toggle filters setups further by limiting activation to the first and last 10 minutes of each hour, a filter inspired for intraday traders and scalpers.
How Traders Can Use the Indicator Effectively
SIFVG is not meant to identify trade signals, entries, or exits. It is best used as a visual tracker and confluence for structure-based delivery. The tool excels as a companion for:
Journaling and reviewing SIFVG-based setups across Timeframes and sessions
Studying structural completion or invalidation behaviour
Tracking delayed deliveries and retracement-based logic
Traders using the tool should be familiar with FVG formations, inversion criterias, and the importance of orderflow once an opposing swing is reached.
Usage Guidance
Add the SIFVG to a TradingView chart. This is a fractal script and can be applied across any Timeframe or asset pairing.
Use the SIFVG line to track inversion structure, monitor when inversions are created and negated, and reference the opposing swing to determine whether structural delivery has completed.
Use the SIFVG in combination with your own discretion and narrative to assess when the model has flipped, held, or broken.
Terms and Conditions
Our charting tools are products provided for informational and educational purposes only and do not constitute financial, investment, or trading advice. Our charting tools are not designed to predict market movements or provide specific recommendations. Users should be aware that past performance is not indicative of future results and should not be relied upon for making financial decisions. By using our charting tools, the purchaser agrees that the seller and the creator are not responsible for any decisions made based on the information provided by these charting tools. The purchaser assumes full responsibility and liability for any actions taken and the consequences thereof, including any loss of money or investments that may occur as a result of using these products. Hence, by purchasing these charting tools, the customer accepts and acknowledges that the seller and the creator are not liable nor responsible for any unwanted outcome that arises from the development, the sale, or the use of these products. Finally, the purchaser indemnifies the seller from any and all liability. If the purchaser was invited through the Friends and Family Program, they acknowledge that the provided discount code only applies to the first initial purchase of any Marcus product. The purchaser is therefore responsible for cancelling – or requesting to cancel – their subscription in the event that they do not wish to continue using the product at full retail price. If the purchaser no longer wishes to use the products, they must unsubscribe from the membership service, if applicable. We hold no reimbursement, refund, or chargeback policy. Once these Terms and Conditions are accepted by the Customer, before purchase, no reimbursements, refunds or chargebacks will be provided under any circumstances.
By continuing to use these charting tools, the user acknowledges and agrees to the Terms and Conditions outlined in this legal disclaimer.
JP7FX Signals ProJP7FX Signals Pro
Smart session signals based on structure, liquidity shifts and volatility filters.
Designed for use on the 1 minute timeframe.
What this tool does
This indicator builds signals around three things traders track every day.
• session ranges for Asia, Frankfurt, London and New York
• Fair Value Gap behaviour
• Supertrend shifts with volatility confirmation
The script draws each session range on your chart. It tracks when price breaks a session high or low, then checks if the market is above or below the daily open. These conditions help filter trades by direction during different sessions.
It also detects bullish and bearish Fair Value Gaps. The script tracks when an FVG forms, when price enters the imbalance and when it gets mitigated. These checks create part of the signal logic.
Supertrend is used as an extra filter. A crossover above or below the Supertrend gives a directional bias. When combined with session behaviour and FVG conditions, the script can mark possible long or short signals during London or New York.
How the signals form
A signal only prints when the script has all conditions in place.
This includes:
• a session range break in the correct direction
• a price position relative to the daily open
• confirmation from Supertrend
• FVG creation or mitigation on the right side of price
• liquidity taken in previous sessions
These rules reduce noise and avoid signals that appear in weak conditions.
What the indicator is for
• understanding how sessions behave on the 1 minute chart
• tracking liquidity behaviour
• seeing when a clean break and trend shift takes place
• getting notified when the market forms the conditions you set
This is not a buy or sell system on its own
Signals do not replace analysis. You still need market structure, higher timeframe direction, orderblocks or your own trade model.
A signal is only a prompt to look at the chart, not a confirmation to enter a trade.
Price can shift quickly around sessions, so check the context before acting on any alert.
Important notes
• designed for the 1 minute timeframe
• signals do not guarantee trend continuation
• conditions can form in strong or weak market phases
• use your own risk rules and validation before entering trades
JP7FX Signals Pro helps you track session behaviour and FVG interaction more efficiently, but trading decisions still need your full chart process.
Session Open Range, Breakout & Trap Framework - TrendPredator OBSession Open Range, Breakout & Trap Framework — TrendPredator Open Box
Stacey Burke’s trading approach combines concepts from George Douglas Taylor, Tony Crabel, Steve Mauro, and Robert Schabacker. His framework focuses on reading price behaviour across daily templates and identifying how markets move through recurring cycles of expansion, contraction, and reversal. While effective, much of this analysis requires real-time interpretation of session-based behaviour, which can be demanding for traders working on lower intraday timeframes.
The TrendPredator indicators formalize parts of this methodology by introducing mechanical rules for multi-timeframe bias tracking and session structure analysis. They aim to present the key elements of the system—bias, breakouts, fakeouts, and range behaviour—in a consistent and objective way that reduces discretionary interpretation.
The Open Box indicator focuses specifically on the opening behaviour of major trading sessions. It builds on principles found in classical Open Range Breakout (ORB) techniques described by Tony Crabel, where a defined time window around the session open forms a structural reference range. Price behaviour relative to this range—breaking out, failing back inside, or expanding—can highlight developing session bias, potential trap formation, and directional conviction.
This indicator applies these concepts throughout the major equity sessions. It automatically maps the session’s initial range (“Open Box”) and tracks how price interacts with it as liquidity and volatility increase. It also incorporates related structural references such as:
* the first-hour high and low of the futures session
* the exact session open level
* an anchored VWAP starting at the session open
* automated expansion levels projected from the Open Box
In combination, these components provide a unified view of early session activity, including breakout attempts, fakeouts, VWAP reactions, and liquidity targeting. The Open Box offers a structured lens for observing how price transitions through the major sessions (Asia → London → New York) and how these behaviours relate to higher-timeframe bias defined in the broader TrendPredator framework.
Core Features
Open Box (Session Structure)
The indicator defines an initial session range beginning at the selected session open. This “Open Box” represents a fixed time window—commonly the first 30 minutes, or any user-defined duration—that serves as a structural reference for analysing early session behaviour.
The range highlights whether price remains inside the box, breaks out, or rejects the boundaries, providing a consistent foundation for interpreting early directional tendencies and recognising breakout, continuation, or fakeout characteristics.
How it works:
* At the session open, the indicator calculates the high and low over the specified time window.
* This range is plotted as the initial structure of the session.
* Price behaviour at the boundaries can illustrate emerging bias or potential trap formation.
* An optional secondary range (e.g., 15-minute high/low) can be enabled to capture early volatility with additional precision.
Inputs / Options:
* Session specifications (Tokyo, London, New York)
* Open Box start and end times (e.g., equity open + first 30 minutes, or any custom length)
* Open Box colour and label settings
* Formatting options for Open Box high and low lines
* Optional secondary range per session (e.g., 15-minute high/low)
* Forward extension of Open Box high/low lines
* Number of historic Open Boxes to display
Session VWAPs
The indicator plots VWAPs for each major trading session—Asia, London, and New York—anchored to their respective session opens. These session-specific VWAPs assist in tracking how value develops through the day and how price interacts with session-based volume distributions.
How it works:
* At each session open, a VWAP is anchored to the open price.
* The VWAP updates throughout the session as new volume and price data arrive.
* Deviations above or below the VWAP may indicate balance, imbalance, or directional control.
* Viewed together, session VWAPs help identify transitions in value across sessions.
Inputs / Options:
* Enable or disable VWAP per session
* Adjustable anchor and end times (optionally to end of day)
* Line styling and label settings
* Number of historic VWAPs to draw
First Hour High/Low Extensions
The indicator marks the high and low formed during the first hour of each session. These reference points often function as early control levels and provide context for assessing whether the session is establishing bias, consolidating, or exhibiting reversal behaviour.
How it works:
* After the session starts, the indicator records the highest and lowest prices during the first hour.
* These levels are plotted and extended across the session.
* They provide a visual reference for observing reactions, targets, or rejection zones.
Inputs / Options:
* Enable or disable for each session
* Line style, colour, and label visibility
* Number of historic sessions displayed
EQO Levels (Equity Open)
The indicator plots the opening price of each configured session. These “Equity Open” levels represent short-term reference points that can attract price early in the session.
Once the level is revisited after the Open Box has formed, it is automatically cut to avoid clutter. If not revisited, the line remains as an untested reference, similar to a naked point of control.
How it works:
* At session open, the open price is recorded.
* The level is plotted as a local reference.
* If price interacts with the level after the Open Box completes, the line is cut.
* Untested EQOs extend forward until interacted with.
Inputs / Options:
* Enable/disable per session
* Line style and label settings
* Optional extension into the next day
* Option for cutting vs. hiding on revisit
* Number of historic sessions displayed
OB Range Expansions (Automatic)
Range expansions are calculated from the height of the Open Box. These levels provide structured reference zones for identifying potential continuation or exhaustion areas within a session.
How it works:
* After the Open Box is formed, multiples of the range (e.g., 1×, 2×, 3×) are projected.
* These expansion levels are plotted above and below the range.
* Price reactions near these areas can illustrate continuation, hesitation, or potential reversal.
Inputs / Options:
* Enable or disable per session
* Select number of multiples
* Line style, colour, and label settings
* Extension length into the session
Stacey Burke 12-Candle Window Marker
The indicator can highlight the 12-candle window often referenced in Stacey Burke’s session methodology. This window represents the key active period of each session where breakout attempts, volatility shifts, and reversal signatures often occur.
How it works:
* A configurable window (default 12 candles) is highlighted from each session open.
* This window acts as a guide for observing active session behaviour.
* It remains visible throughout the session for structural context.
Inputs / Options:
* Enable/disable per session
* Configurable window duration (default: 3 hours)
* Colour and transparency controls
Concept and Integration
The Open Box is built around the same multi-timeframe logic that underpins the broader TrendPredator framework.
While higher-timeframe tools track bias and setups across the H8–D–W–M levels, the Open Box focuses on the H1–M30 domain to define session structure and observe how early intraday behaviour aligns with higher-timeframe conditions.
The indicator integrates with the TrendPredator FO (Breakout, Fakeout & Trend Switch Detector), which highlights microstructure signals on lower timeframes (M15/M5). Together they form a layered workflow:
* Higher timeframes: context, bias, and developing setups
* TrendPredator OB: intraday and intra-session structure
* TrendPredator FO: microstructure confirmation (e.g., FOL/FOH, switches)
This alignment provides a structured way to observe how daily directional context interacts with intraday behaviour.
See the public open source indicator TP FO here (click on it for access):
Practical Application
Before Session Open
* Review previous session Open Box, Open level, and VWAPs
* Assess how higher-timeframe bias aligns with potential intraday continuation or reversal
* Note untested EQO levels or VWAPs that may function as liquidity attractors
During Session Open
* Observe behaviour around the first-hour high/low and higher-timeframe reference levels
* Monitor how the M15 and 30-minute ranges close
* Track reactions relative to the session open level and the session VWAP
After the Open Box completes
* Assess price interaction with Open Box boundaries and first-hour levels
* Use microstructure signals (e.g., FOH/FOL, switches) for potential confirmation
* Refer to expansion levels as reference zones for management or target setting
After Session
* Review how price behaved relative to the Open Box, EQO levels, VWAPs, and expansion zones
* Analyse breakout attempts, fakeouts, and whether intraday structure aligned with the broader daily move
Example Workflow and Trade
1. Higher-timeframe analysis signals a Daily Fakeout Low Continuation (bullish context).
2. The New York session forms an Open Box; price breaks above and holds above the first-hour high.
3. A Fakeout Low + Switch Bar appears on M5 (via FO), after retesting the session VWAP triggering the entry.
4. 1x expansion level serves as reference targets for take profit.
Relation to the TrendPredator Ecosystem
The Open Box is part of the TrendPredator Indicator Family, designed to apply multi-timeframe logic consistently across:
* higher-timeframe context and setups
* intraday and session structure (OB)
* microstructure confirmation (FO)
Together, these modules offer a unified structure for analysing how daily and intraday cycles interact.
Disclaimer
This indicator is for educational purposes only and does not guarantee profits.
It does not provide buy or sell signals but highlights structural and behavioural areas for analysis.
Users are solely responsible for their trading decisions and outcomes.
W%R Cycle Swings - MTF Trend📄 English Description
Overview
The W%R Cycle Swings – MTF Trend indicator is a market-structure tool built on top of Williams %R cycle logic. It detects meaningful swing highs and lows from W%R behavior, then uses those swings to locate the first Market Structure Shift (MSS-first) and track multi-timeframe trend bias + cancel levels.
This is not a random mashup of indicators: all components are derived from one core concept—W%R cycles—and are combined into a single, coherent framework for reading structure and trend across timeframes.
Core Concepts
1. Williams %R Cycle Swings (Current Timeframe)
Instead of using price swings based only on highs/lows, this script uses Williams %R behavior to define swing points:
Swing High pattern: OS → OB → OS
Swing Low pattern: OB → OS → OB
The script:
Tracks overbought/oversold states using user-defined levels.
Builds a zone for each potential swing (accumulating the extremums during the OB/OS phase).
Confirms a swing only when the opposite state appears again.
Plots labels on the chart:
Swing High label above price
Swing Low label below price
Optional price display on the label (toggle in settings).
This makes the swing points cycle-based rather than purely bar-based.
2. MSS-first (Market Structure Shift on Current TF)
Once swings are defined, the script looks for the first break of the most recent swing:
Bullish MSS-first: price breaks above the last confirmed swing high.
Bearish MSS-first: price breaks below the last confirmed swing low.
You can choose whether to confirm by close or by wick (mssByClose input).
When an MSS-first is detected:
A colored label (bullish/bearish) is drawn at the relevant swing level.
A horizontal line is drawn from the swing bar to the MSS bar to visually connect the structure break.
Internal trendBias is updated to Up or Down, preventing duplicate MSS labels in the same direction.
This gives a clear, visual definition of when the structure actually shifted based on W%R-driven swings.
3. MTF MSS-first Trend & Cancel Logic
The same MSS-first concept is applied inside a function and called via request.security() on multiple timeframes (5m, 15m, 30m, 1h, 4h).
For each timeframe, the function:
Recalculates W%R swings with the same parameters.
Detects MSS-first events (bullish or bearish).
Tracks a trend state:
1 → Up trend
-1 → Down trend
0 → Unknown / Neutral
Maintains a cancel level, which represents the price that would invalidate the current trend:
In an uptrend, cancel is typically the last relevant swing low.
In a downtrend, cancel is typically the last relevant swing high.
This provides:
Trend direction per TF (Up / Down / -)
A concrete price level that acts as a structural “stop” or invalidation level.
4. MTF Trend Table (Visual Overview)
If enabled, a compact table is displayed on the chart (position configurable):
Columns: 5m, 15m, 30m, 1h, 4h
Rows:
Trend → shows Up, Down or -, with color-coded background.
Cancel → shows the current cancel price for that timeframe.
This creates a multi-timeframe structure dashboard that tells you:
Which timeframes are currently in an Up or Down MSS-based trend.
At which price the current structural view would be canceled.
5. Alert Conditions
The script includes alert conditions for:
Current timeframe MSS-first:
Bullish MSS-first (structure break up).
Bearish MSS-first (structure break down).
MTF MSS-first events for:
5m, 15m, 30m, 1h, 4h (Bullish & Bearish separately).
This allows you to receive notifications when a fresh structural shift happens on any of the tracked timeframes.
How to Use
Use Swing High / Swing Low labels to understand the current W%R cycle structure on your main timeframe.
Watch for MSS-first labels to catch the first break of structure after a swing completes.
Use the MTF Trend table:
Trade in the direction of higher-timeframe trends.
Use cancel levels as logical invalidation areas or structural stop guides.
Combine the current timeframe swings with MTF bias:
Example: look for long setups when H1/H4 show Up trend and price forms new bullish MSS on lower TF.
The tool is suitable for both intraday and swing trading, on any symbol and timeframe.
Why This Script Is Original
It links cycle-based swings from Williams %R directly to MSS-first detection, rather than using generic pivot logic.
It combines:
W%R-driven swing definition,
MSS-first structural breaks,
Multi-timeframe trend state,
Cancel (invalidation) levels,
Alerts for MSS events on multiple TFs,
into a single, coherent market-structure framework.
The MTF table is not a generic dashboard: it is specifically built around this W%R-MSS-first structural model, which gives traders both trend context and exact invalidation prices.
🇹🇭 Thai Description — คำอธิบายภาษาไทย
ภาพรวม
อินดิเคเตอร์ W%R Cycle Swings – MTF Trend เป็นเครื่องมืออ่านโครงสร้างราคา โดยใช้ “วงจรของ Williams %R” เป็นหลักในการหา Swing High / Swing Low แล้วใช้จุด Swing เหล่านั้นมาหา MSS-first (จุดเปลี่ยนโครงสร้างครั้งแรก) จากนั้นต่อยอดไปสู่ การดูแนวโน้มหลายกรอบเวลา + ระดับ Cancel (จุดที่โครงสร้างจะถูกมองว่าพัง)
แนวคิดหลัก
Swing จาก Williams %R (TF ปัจจุบัน)
ใช้รูปแบบ OS → OB → OS เพื่อยืนยัน Swing High
และ OB → OS → OB เพื่อยืนยัน Swing Low
เมื่อยืนยันแล้วจะสร้าง Label “Swing High / Swing Low” บนกราฟ และสามารถแสดงราคาบนป้ายได้
ทำให้จุด Swing มีพื้นฐานจาก “Cycle ของ W%R” ไม่ใช่แค่ high/low เฉย ๆ
MSS-first บน TF ปัจจุบัน
ถ้าราคาทะลุ Swing High ล่าสุด → มองเป็น Bullish MSS-first
ถ้าราคาทะลุ Swing Low ล่าสุด → มองเป็น Bearish MSS-first
เลือกได้ว่าจะยืนยันจาก Close หรือจาก ไส้แท่งเทียน
วาดป้าย MSS + เส้นเชื่อมจาก Swing ไปยังจุดที่เกิด MSS
มีตัวแปร trendBias ป้องกันไม่ให้ยิง MSS ซ้ำในทิศทางเดิมจนรก
MTF MSS-first + Cancel Logic
นำ Logic เดียวกันไปใช้กับ TF: 5m, 15m, 30m, 1h, 4h
สำหรับแต่ละ TF จะได้:
สถานะแนวโน้ม: Up / Down / Unknown
ระดับ Cancel: ราคาที่ถ้าหลุดจะถือว่าโครงสร้างเทรนด์นั้นถูก “ยกเลิก”
เช่น ในเทรนด์ขาขึ้น ระดับ Cancel มักมาจาก Swing Low ล่าสุด ฯลฯ
MTF Table บนกราฟ
แสดง Trend + Cancel ของ 5 TF ในรูปแบบตาราง
อ่านง่าย: แถว Trend เป็น Up/Down พร้อมสีพื้น, แถว Cancel เป็นตัวเลขราคา
ใช้ดูภาพรวมโครงสร้างหลาย TF ในมุมมองเดียว
Alert Conditions
แจ้งเตือน MSS-first ของ TF ปัจจุบัน
แจ้งเตือน MSS-first ของ TF 5m / 15m / 30m / 1h / 4h แยก Bull / Bear
วิธีใช้งาน
ใช้ Swing High / Swing Low เพื่อดูว่าโครงสร้าง cycle ปัจจุบันอยู่ตรงไหน
รอให้เกิด MSS-first เพื่อมองว่า “โครงสร้างราคาเริ่มกลับตัวแล้ว”
ใช้ Table MTF:
ดูว่า TF ไหนเป็น Up / Down
ใช้ราคาบรรทัด Cancel เป็นแนว “จุดตัดขาดทุนเชิงโครงสร้าง” หรือจุดเปลี่ยนมุมมอง
เทรดตามทิศทาง TF ใหญ่ แล้วหา Entry จาก MSS ของ TF เล็ก
จุดเด่น / ความเป็น Original
ใช้ Williams %R เป็นฐานในการสร้าง Swing Pattern แทนการใช้ Pivot ธรรมดา
เชื่อม W%R Swing เข้ากับแนวคิด MSS-first อย่างเป็นระบบ
มีทั้ง:
ป้าย Swing
ป้าย MSS + เส้นเชื่อม
MTF Trend + Cancel
Alert เตือน MSS ในหลาย TF
อยู่ในสคริปต์เดียว
เหมาะกับคนที่ต้องการอ่านโครงสร้างราคาแบบมีที่มาที่ไป ไม่ใช่แค่ตามอินดี้ตัวเดียวครับ ✅
neeson CME Gaps CompleteCME Gap Detection & Trading Signals Indicator
Originality & Unique Features
This indicator represents a sophisticated approach to CME gap analysis by combining multiple innovative features not found in standard gap indicators:
Dual Visualization System:
Traditional gap boxes that precisely mark the price void between Friday's close and Monday's open
Intelligent bar coloring that instantly identifies gap days through color differentiation
Comprehensive Time Analysis:
Tracks gaps for up to 4 years, providing unprecedented historical context
Maintains gap memory even through chart reloads and timeframe changes
Advanced Signal Generation:
Real-time gap fill detection with customizable threshold levels
Integrated alert system for both new gap formations and gap fill completions
Functionality & Implementation
Core Detection Mechanism
The indicator automatically identifies CME weekend gaps by comparing Friday's closing price with Monday's opening price. When a significant price discontinuity is detected (configurable threshold), it triggers the visualization and tracking system.
Visual Components:
Gap Boxes: Semi-transparent colored rectangles (green for bullish gaps, red for bearish gaps) that precisely cover the price gap area between Friday's close and Monday's open
Extension Lines: Projection lines that extend from gap boundaries into future price action, helping traders visualize potential support/resistance levels
Bar Coloring: Automatic color coding where gap bars are highlighted (green/red) while normal trading bars appear gray, creating immediate visual distinction
Signal Generation:
Buy Signals: Triggered when bearish gaps are filled (price moves upward through the gap zone)
Sell Signals: Activated when bullish gaps are filled (price moves downward through the gap zone)
Smart Thresholds: Configurable fill percentage (0.1%-5.0%) to avoid false signals from minor price fluctuations
Technical Implementation
The script employs sophisticated array management to track multiple gaps simultaneously while maintaining optimal performance. Each gap stores:
Price boundaries (top/bottom)
Gap type (bullish/bearish)
Detection timestamp
Volume data (for potential future analysis)
Fill status
The automatic cleanup system removes gaps older than the configured maximum age (1-10 years) to prevent memory overload while preserving relevant historical context.
Usage Instructions
Basic Operation
Apply to Chart: Add the indicator to any cryptocurrency or futures chart
Automatic Detection: The script automatically scans for Monday openings relative to Friday closes
Visual Analysis: Observe colored bars for gap days and corresponding gap boxes
Configuration Options
Gap Detection Settings:
Show CME Gaps: Enable/disable the entire detection system
Max Gap Age: Set how long to track gaps (1-10 years)
Only Weekend Gaps: Focus exclusively on CME weekend gaps
Visual Customization:
Bullish/Bearish Gap Colors: Customize gap box appearance
Extension Lines: Control projection line visibility and length
Bar Coloring: Toggle bar color differentiation
Trading Signals:
Show Trading Signals: Enable/disable buy/sell alerts
Gap Fill Threshold: Set sensitivity for gap fill detection
Enable Alerts: Activate platform notifications
Trading Strategy Integration
Gap Fill Strategy:
Monitor for gap fill completion signals
Enter positions in the direction of the fill (buy on bearish gap fills, sell on bullish gap fills)
Use extension lines as potential profit targets or stop-loss levels
Support/Resistance Identification:
Historical gaps often act as future support/resistance
Use the 4-year gap memory to identify key price levels
Combine with other technical analysis tools for confirmation
Core Calculation Philosophy
Market Psychology Foundation
The indicator operates on the well-established market principle that "gaps tend to fill." This phenomenon stems from:
Market Memory: Traders remember significant price discontinuities and often trade to close them
Liquidity Gaps: Gaps represent areas of low liquidity that markets naturally seek to revisit
Psychological Levels: Round numbers and significant price levels often coincide with gap boundaries
Statistical Edge
By systematically tracking gaps across extended timeframes (up to 4 years), the indicator provides:
Probability Assessment: Historical gap fill rates help assess current gap fill probabilities
Risk Management: Clear visual boundaries for stop-loss placement and position sizing
Time Analysis: Understanding how quickly different types of gaps tend to fill
Adaptive Detection
The algorithm incorporates:
Dynamic Thresholds: Configurable sensitivity to ignore insignificant gaps
Multi-Timeframe Awareness: Consistent performance across different chart timeframes
Market Condition Adaptation: Automatic adjustment to varying volatility environments
This comprehensive approach transforms simple gap detection into a sophisticated trading tool that combines visual clarity, historical context, and actionable signals for improved trading decisions.
Web3 Sector Monitor[SurgeGuru]📊 Crypto Sector Monitor — Multi-Sector Strength Dashboard
This script provides a visual and data-driven overview of the performance of major cryptocurrencies, grouped by sector — such as Infrastructure, DeFi, NFTs, and ENS — allowing traders to track which sectors are leading or lagging the market in real time.
🧠 Core Functionality
Sector-Based Grouping:
Coins are organized into distinct categories (Infrastructure, DeFi, NFT, ENS), making it easy to monitor capital flow between ecosystem themes.
Dynamic Performance Analysis:
Calculates percentage change of each coin relative to its value performance_length bars ago (default: 24h).
This gives an immediate view of short-term sector strength or weakness.
Relative Strength Mode:
Compares each asset’s performance against a reference symbol (e.g. BTC or ETH) to display outperformance or underperformance relative to the broader market.
Average Sector Strength:
Displays the average performance per sector, helping identify which category dominates momentum.
Multiple Plot Modes:
Choose between:
📈 Performance: Sector-based color plots showing % change over time.
💰 Price: Real-time price levels of selected coins.
⚖️ Relative Strength: Comparison vs benchmark coin.
🧩 Display & Customization
Compact Table Display:
All results are presented in a color-coded table for quick scanning. Colors correspond to sectors, and optional emojis provide intuitive visual cues.
Configurable Visibility:
Toggle specific categories (Infrastructure, DeFi, NFT, ENS) on/off individually.
Legend Table:
Automatically generated legend explains color mapping and sector composition for clarity.
Dense Mode Option:
Reduces spacing between rows for tighter, minimal layout when screen space is limited.
⚙️ Main Inputs
Performance Length: Lookback period for performance calculation.
Reference Symbol: Used for relative strength comparison.
Plot Mode: Switch between “Performance,” “Price,” and “Relative Strength.”
Dense Mode: Compact visual layout toggle.
📈 Usage
Ideal for crypto traders who want to track sector rotation and relative performance across key crypto ecosystems.
Helps quickly identify which sectors are gaining momentum, potentially signaling where liquidity is flowing next.
🧭 How to Read the Crypto Sector Monitor
The indicator displays a multi-sector dashboard that tracks the short-term performance and relative behavior of key crypto assets.
Each coin is color-coded by sector and shown in a table or chart-style layout depending on the selected mode.
🔹 1. Performance Mode ("Perf")
What it shows:
Each coin’s percentage change over the last X bars (default = 24 hours).
The table displays positive values in greenish tones (strong performance) and negatives in reddish tones (weak performance).
How to read:
Higher positive values → coin is gaining strength vs its past 24h value.
Lower or negative values → coin is losing strength or being sold off.
The sector average row gives an instant snapshot of which group (e.g., Infrastructure, DeFi, NFT) is leading or lagging.
Use case:
Great for detecting sector rotation — when money flows from one theme to another.
Example: If Infrastructure average = +3.5% while DeFi = −1.2%, traders are rotating toward infrastructure assets.
🔹 2. Price Mode ("Price")
What it shows:
The current live price of each tracked coin, updating per bar.
This mode is meant for quick absolute value comparison, not relative changes.
How to read:
Watch how price levels evolve alongside performance.
Combined with the legend, you can see at a glance which assets are higher-value vs low-cap within the same sector.
Use case:
Helpful if you want to anchor context (actual price) while scanning sector behavior.
🔹 3. Relative Strength Mode ("RS")
What it shows:
Each coin’s relative performance vs a chosen benchmark (usually BTC or ETH).
It measures how much the coin outperformed or underperformed compared to the reference symbol.
How to read:
Positive RS → coin is stronger than BTC over the lookback period.
Negative RS → coin is weaker than BTC.
Sector averages reveal whether an entire category is outperforming or lagging the benchmark.
Use case:
Ideal for rotation traders looking for coins that consistently outperform BTC or ETH, indicating alpha potential.
🧩 General Visual Cues
Colors = Sector identity
Each category (Infrastructure, DeFi, NFT, ENS) has its own color palette, reflected across both table and legend.
Legend Table
Appears in the corner with symbols and colors for quick sector identification.
🧠 TL;DR for Traders
Mode - Meaning - What to Look For
Perf % change vs past X bars Strong/weak performers & sector averages
Price Current live price Quick price reference by sector
RS Relative to BTC/ETH Outperformers & underperformers vs benchmark
Adaptive Trend Breaks Adaptive Trend Breaks
## WHAT IT DOES
This script is a modified and enhanced version of "Trendline Breakouts With Targets" concept by ChartPrime.
Adaptive Trend Breaks (ATB) is a trendline breakout system optimized for scalping liquid futures contracts. The indicator automatically draws dynamic support and resistance trendlines based on pivot points, then generates trade signals when price breaks through these levels with confirmation filters. It includes automated target and stop-loss placement with real-time P&L tracking in dollars.
## HOW IT WORKS
**Trendline Detection Method:**
The indicator uses pivot high/low detection to identify significant price turning points. When a new pivot forms, it calculates the slope between consecutive pivots to draw dynamic trendlines. These lines extend forward based on the established trend angle, creating actionable support and resistance zones.
**Band System:**
Around each trendline, the script creates a "band" using a volatility-adjusted calculation: `ATR(14) * 0.2 * bandwidth multiplier / 2`. This adaptive band accounts for current market conditions - wider during volatile periods, tighter during quiet markets.
**Breakout Logic:**
A breakout signal triggers when:
1. Price closes beyond the trendline + band zone
2. Volume exceeds the 20-period moving average by your set multiplier (default 1.2x)
3. Price is within Regular Trading Hours (9:30-16:00 EST) if session filter enabled
4. Current ATR meets minimum volatility threshold (prevents trading dead markets)
**Target & Stop Calculation:**
Upon breakout confirmation:
- **Entry**: Trendline breach point
- **Target**: Entry ± (bandwidth × target multiplier) - default 8x for quick scalps
- **Stop**: Entry ± (bandwidth × stop multiplier) - default 8x for 1:1 risk/reward
- Multipliers adjust automatically to market volatility through the ATR-based band
**P&L Conversion:**
The script converts point movements to dollars using:
```
Dollar P&L = (Price Points × Contract Point Value × Quantity)
```
For example, a 10-point NQ move with 2 contracts = 10 × $20 × 2 = $400
## HOW TO USE IT
**Setup:**
1. Select your instrument (NQ/ES/YM/RTY) - point values auto-configure
2. Set contract quantity for accurate dollar P&L
3. Choose pivot period (lower = more signals but more noise, default 5 for scalping)
4. Adjust bandwidth multiplier if trendlines are too tight/loose (1-5 range)
**Filters Configuration:**
- **Volume Filter**: Requires breakout volume > moving average × multiplier. Increase multiplier (1.5-2.0) for higher conviction trades
- **Session Filter**: Enable to trade only RTH. Disable for 24-hour trading
- **ATR Filter**: Prevents signals during low volatility. Increase minimum % for more active markets only
**Risk Management:**
- Set target/stop multipliers based on your risk tolerance
- 8x bandwidth = approximately 1:1 risk/reward for most liquid futures
- Enable trailing stops for trend-following approach (moves stop to protect profits)
- Adjust line length to see targets further into the future
**Statistics Table:**
- Choose timeframe to analyze: all-time, today, this week, custom days
- Monitor win rate, profit factor, and net P&L in dollars
- Track long vs short performance separately
- See real-time unrealized P&L on active trades
**Reading Signals:**
- **Green triangle below bar** = Long breakout (resistance broken)
- **Red triangle above bar** = Short breakout (support broken)
- **White dashed line** = Entry price
- **Orange line** = Take profit target with dollar value
- **Red line** = Stop loss with dollar value
- **Green checkmark (✓)** = Target hit, winning trade
- **Red X (✗)** = Stop hit, losing trade
## WHAT IT DOES NOT DO
**Limitations to Understand:**
- Does not predict future trendline formations - it reacts to breakouts after they occur
- Historical trendlines disappear after breakout (not kept on chart for clarity)
- Requires sufficient volatility - may not signal in extremely quiet markets
- Volume filter requires exchange volume data (not available on all symbols)
- Statistics are indicator-based simulations, not actual trading results
- Does not account for slippage, commissions, or order fills
## BEST PRACTICES
**Recommended Settings by Market:**
- **NQ (Nasdaq)**: Default settings work well, consider volume multiplier 1.3-1.5
- **ES (S&P 500)**: Slightly slower, try period 7-8, volume 1.2
- **YM (Dow)**: Lower volatility, reduce bandwidth to 1.5-2
- **RTY (Russell)**: Higher volatility, increase bandwidth to 3-4
**Risk Management:**
- Never risk more than 2-3% of account per trade
- Use contract quantity calculator: Max Risk $ ÷ (Stop Distance × Point Value)
- Start with 1 contract while learning the system
- Backtest your specific timeframe and instrument before live trading
**Optimization Tips:**
- Increase pivot period (7-10) for fewer but higher-quality signals
- Raise volume multiplier (1.5-2.0) in choppy markets
- Lower target/stop multipliers (5-6x) for tighter profit taking
- Use trailing stops in strong trending conditions
- Disable session filter for overnight gaps and Asia session moves
## TECHNICAL DETAILS
**Key Calculations:**
- Pivot Detection: `ta.pivothigh(high, period, period/2)` and `ta.pivotlow(low, period, period/2)`
- Slope Calculation: `(newPivot - oldPivot) / (newTime - oldTime)`
- Adaptive Band: `min(ATR(14) * 0.2, close * 0.002) * multiplier / 2`
- Breakout Confirmation: Price crosses trendline + 10% of band threshold
**Data Requirements:**
- Minimum bars in view: 500 for proper pivot calculation
- Volume data required for volume filter accuracy
- Intraday timeframes recommended (1min - 15min) for scalping
- Works on any timeframe but optimized for fast execution
**Performance Metrics:**
All statistics calculate based on indicator signals:
- Tracks every signal as a trade from entry to TP/SL
- P&L in actual contract dollar values
- Win rate = (Winning trades / Total trades) × 100
- Profit factor = Gross profit / Gross loss
- Separates long/short performance for bias analysis
## IDEAL FOR
- Futures scalpers and day traders
- Traders who prefer visual trendline breakouts
- Those wanting automated TP/SL placement
- Traders tracking performance in dollar terms
- Multiple timeframe analysis (compare 1min vs 5min signals)
## NOT SUITABLE FOR
- Swing trading (targets too close)
- Stocks/forex without modifying point values
- Extremely low timeframes (<30 seconds) - too much noise
- Markets without volume data if using volume filter
- Illiquid contracts (signals may not execute at shown prices)
---
**Settings Summary:**
- Core: Period, bandwidth, extension, trendline style
- Filters: Volume, RTH session, ATR volatility
- Risk: R:R ratio, target/stop multipliers, trailing stop
- Display: Stats table position, size, colors
- Stats: Timeframe selection (all-time to custom days)
**License:** This indicator is published open-source under Mozilla Public License 2.0. You may use and modify the code with proper attribution.
**Disclaimer:** This indicator is for educational purposes. Past performance does not guarantee future results. Always practice proper risk management and test thoroughly before live trading.
---
## CREDITS & ATTRIBUTION
This script builds upon the "Trendline Breakouts With Targets" concept by ChartPrime with significant enhancements:
**Major Improvements Added:**
- **Futures-Specific Calculations**: Automated dollar P&L conversion using actual contract point values (NQ=$20, ES=$50, YM=$5, RTY=$50)
- **Advanced Statistics Engine**: Comprehensive performance tracking with customizable timeframe analysis (today, week, month, custom ranges)
- **Multi-Layer Filtering System**: Volume confirmation, RTH session filter, and ATR volatility filter to reduce false signals
- **Professional Trade Management**: Enhanced visual trade tracking with separate TP/SL lines, dollar value labels, and optional trailing stops
- **Optimized for Scalping**: Faster pivot periods (5 vs 10), tighter bands, and reduced extension bars for quick entries
Original trendline detection methodology by ChartPrime - used with modification under Mozilla Public License 2.0.
